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You searched for subject:(Bag of Features). Showing records 1 – 30 of 31 total matches.

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1. Massich, Joan. Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images.

Degree: Docteur es, Instrumentation et informatique de l'image, 2013, Dijon; Universitat de Girona

Le cancer du sein est le type de cancer le plus répandu, il est la cause principale de mortalité chez les femmes aussi bien dans… (more)

Subjects/Keywords: Ultrasonore; Ultrasound; Breast cancer; Segmentation; Graph-cuts; Optimization; Bag-of-words; Bag-of-features; Features; Machine learning; Medical imaging; 620; 610.2

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Massich, J. (2013). Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images. (Doctoral Dissertation). Dijon; Universitat de Girona. Retrieved from http://www.theses.fr/2013DIJOS090

Chicago Manual of Style (16th Edition):

Massich, Joan. “Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images.” 2013. Doctoral Dissertation, Dijon; Universitat de Girona. Accessed December 04, 2020. http://www.theses.fr/2013DIJOS090.

MLA Handbook (7th Edition):

Massich, Joan. “Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images.” 2013. Web. 04 Dec 2020.

Vancouver:

Massich J. Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images. [Internet] [Doctoral dissertation]. Dijon; Universitat de Girona; 2013. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2013DIJOS090.

Council of Science Editors:

Massich J. Segmentation d'objets déformables en imagerie ultrasonore : Deformable object segmentation in ultra-sound images. [Doctoral Dissertation]. Dijon; Universitat de Girona; 2013. Available from: http://www.theses.fr/2013DIJOS090


Colorado State University

2. Bhikadiya, Jatin V. Performance evaluation of local features for object discovery.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Object recognition is one of the most challenging tasks in computer vision. A common approach in recognizing an object begins by detecting local features in… (more)

Subjects/Keywords: feature descriptors; object recognition; bag of features; performance evaluation; feature detectors

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APA (6th Edition):

Bhikadiya, J. V. (2015). Performance evaluation of local features for object discovery. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/167024

Chicago Manual of Style (16th Edition):

Bhikadiya, Jatin V. “Performance evaluation of local features for object discovery.” 2015. Masters Thesis, Colorado State University. Accessed December 04, 2020. http://hdl.handle.net/10217/167024.

MLA Handbook (7th Edition):

Bhikadiya, Jatin V. “Performance evaluation of local features for object discovery.” 2015. Web. 04 Dec 2020.

Vancouver:

Bhikadiya JV. Performance evaluation of local features for object discovery. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10217/167024.

Council of Science Editors:

Bhikadiya JV. Performance evaluation of local features for object discovery. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167024


Brno University of Technology

3. Gajová, Veronika. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.

Degree: 2020, Brno University of Technology

 Purpose of this thesis is to design and implement a tool for automatic categorization of photos. The proposed tool is based on the Bag of… (more)

Subjects/Keywords: automatická klasifikace fotografií; organizace fotografií; automatické tagování fotografií; počítačové vidění; klasifikace objektů; BOW; Bag of Words; Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; zásuvný modul; plug-in; obrazové příznaky; metadata; IPTC; GFL; XnView; automatic photo classification; photo organization; automatic photo tagging; computer vision; object classification; BOW; Bag of Words; Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; plug-in; image features; metadata; IPTC; GFL; XnView

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gajová, V. (2020). Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2020. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/189606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2020. Web. 04 Dec 2020.

Vancouver:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/189606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Gajová, Veronika. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.

Degree: 2018, Brno University of Technology

 Purpose of this thesis is to design and implement a tool for automatic categorization of photos. The proposed tool is based on the Bag of… (more)

Subjects/Keywords: automatická klasifikace fotografií; organizace fotografií; automatické tagování fotografií; počítačové vidění; klasifikace objektů; BOW; Bag of Words; Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; zásuvný modul; plug-in; obrazové příznaky; metadata; IPTC; GFL; XnView; automatic photo classification; photo organization; automatic photo tagging; computer vision; object classification; BOW; Bag of Words;   Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; plug-in; image features; metadata; IPTC; GFL; XnView

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gajová, V. (2018). Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53708

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2018. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/53708.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2018. Web. 04 Dec 2020.

Vancouver:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/53708.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53708

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Gajová, Veronika. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.

Degree: 2020, Brno University of Technology

 Purpose of this thesis is to design and implement a tool for automatic categorization of photos. The proposed tool is based on the Bag of… (more)

Subjects/Keywords: automatická klasifikace fotografií; organizace fotografií; automatické tagování fotografií; počítačové vidění; klasifikace objektů; BOW; Bag of Words; Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; zásuvný modul; plug-in; obrazové příznaky; metadata; IPTC; GFL; XnView; automatic photo classification; photo organization; automatic photo tagging; computer vision; object classification; BOW; Bag of Words; Bag of Visual Words; Bag of Keypoints; Bag of Features; SVM; plug-in; image features; metadata; IPTC; GFL; XnView

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gajová, V. (2020). Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188741

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2020. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/188741.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gajová, Veronika. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2020. Web. 04 Dec 2020.

Vancouver:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/188741.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gajová V. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188741

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

6. Hopkins, David. Computer vision approach to classification of circulating tumor cells.

Degree: MS(M.S.), Mathematics, 2013, Colorado State University

 Current research into the detection and characterization of circulating tumor cells (CTCs) in the bloodstream can be used to assess the threat to a potential… (more)

Subjects/Keywords: bag of features; cancer; cell classification; circulating tumor cells; computer vision; feature descriptor

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APA (6th Edition):

Hopkins, D. (2013). Computer vision approach to classification of circulating tumor cells. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/79065

Chicago Manual of Style (16th Edition):

Hopkins, David. “Computer vision approach to classification of circulating tumor cells.” 2013. Masters Thesis, Colorado State University. Accessed December 04, 2020. http://hdl.handle.net/10217/79065.

MLA Handbook (7th Edition):

Hopkins, David. “Computer vision approach to classification of circulating tumor cells.” 2013. Web. 04 Dec 2020.

Vancouver:

Hopkins D. Computer vision approach to classification of circulating tumor cells. [Internet] [Masters thesis]. Colorado State University; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10217/79065.

Council of Science Editors:

Hopkins D. Computer vision approach to classification of circulating tumor cells. [Masters Thesis]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/79065


Brno University of Technology

7. Hubený, Marek. Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images.

Degree: 2018, Brno University of Technology

 This work is focused on objects and scenes recognition using machine learning and computer vision tools. Before the solution of this problem has been studied… (more)

Subjects/Keywords: Strojové učení; počítačové vidění; popis objektu; statistické modely; generativní modely; diskriminativní modely; SIFT; SURF; SVM; neuronová síť; boosting; skrytý Markovovův model; omezený Boltzmannův stroj; bag of words; bag of visual words; bag of features; Machine learning; computer vision; object description; statistical model; generative model; discriminative model; SIFT; SURF; SVM; neural network; boosting; hidden markov model; restricted Boltzmann machine; bag of word; bag of features; bag of visual words

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hubený, M. (2018). Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hubený, Marek. “Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images.” 2018. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/65237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hubený, Marek. “Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images.” 2018. Web. 04 Dec 2020.

Vancouver:

Hubený M. Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/65237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hubený M. Koncepty strojového učení pro kategorizaci objektů v obrazu: Machine Learning Concepts for Categorization of Objects in Images. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/65237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Cui, Yanwei. Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection.

Degree: Docteur es, Stic, 2017, Lorient

La représentation d’image sous une forme hiérarchique a été largement utilisée dans un contexte de classification. Une telle représentation est capable de modéliser le contenu… (more)

Subjects/Keywords: Noyau structuré; Représentations hiérarchiques; Apprentissage à grande échelle; Bag of Subpaths Kernel; Random Fourier Features; 006.4

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cui, Y. (2017). Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection. (Doctoral Dissertation). Lorient. Retrieved from http://www.theses.fr/2017LORIS448

Chicago Manual of Style (16th Edition):

Cui, Yanwei. “Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection.” 2017. Doctoral Dissertation, Lorient. Accessed December 04, 2020. http://www.theses.fr/2017LORIS448.

MLA Handbook (7th Edition):

Cui, Yanwei. “Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection.” 2017. Web. 04 Dec 2020.

Vancouver:

Cui Y. Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection. [Internet] [Doctoral dissertation]. Lorient; 2017. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2017LORIS448.

Council of Science Editors:

Cui Y. Kernel-based learning on hierarchical image representations : applications to remote sensing data classification : Apprentissage à base de noyaux sur représentations d’images arborescentes : applications à la classification des images de télédétection. [Doctoral Dissertation]. Lorient; 2017. Available from: http://www.theses.fr/2017LORIS448


University of Ottawa

9. Dardas, Nasser Hasan Abdel-Qader. Real-time Hand Gesture Detection and Recognition for Human Computer Interaction .

Degree: 2012, University of Ottawa

 This thesis focuses on bare hand gesture recognition by proposing a new architecture to solve the problem of real-time vision-based hand detection, tracking, and gesture… (more)

Subjects/Keywords: Posture recognition; Gesture recognition; Scale Invariant Feature Transform (SIFT); K-means; Bag-of-features; Support Vector Machine (SVM); Human-computer interaction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dardas, N. H. A. (2012). Real-time Hand Gesture Detection and Recognition for Human Computer Interaction . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/23499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dardas, Nasser Hasan Abdel-Qader. “Real-time Hand Gesture Detection and Recognition for Human Computer Interaction .” 2012. Thesis, University of Ottawa. Accessed December 04, 2020. http://hdl.handle.net/10393/23499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dardas, Nasser Hasan Abdel-Qader. “Real-time Hand Gesture Detection and Recognition for Human Computer Interaction .” 2012. Web. 04 Dec 2020.

Vancouver:

Dardas NHA. Real-time Hand Gesture Detection and Recognition for Human Computer Interaction . [Internet] [Thesis]. University of Ottawa; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10393/23499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dardas NHA. Real-time Hand Gesture Detection and Recognition for Human Computer Interaction . [Thesis]. University of Ottawa; 2012. Available from: http://hdl.handle.net/10393/23499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

10. Řezníček, Ivo. ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO.

Degree: 2019, Brno University of Technology

 This thesis focuses on the improvement of human action recognition systems. It reviews the state-of-the-art in the field of action recognition from video. It describes… (more)

Subjects/Keywords: Optimální analyzovaná délka akce; lokální video příznaky; bag-of-words representace videa; visuální slovník; SVM.; Optimal analysis length of action; local space-time features; bag-of-words repesentation; visual vocabulary; SVM.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Řezníček, I. (2019). ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/63243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Řezníček, Ivo. “ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/63243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Řezníček, Ivo. “ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO.” 2019. Web. 04 Dec 2020.

Vancouver:

Řezníček I. ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/63243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Řezníček I. ROZPOZNÁNÍ ČINNOSTÍ ČLOVĚKA VE VIDEU: HUMAN ACTION RECOGNITION IN VIDEO. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/63243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Behúň, Kamil. Příznaky z videa pro klasifikaci: Video Feature for Classification.

Degree: 2018, Brno University of Technology

 This thesis compares hand-designed features with features learned by feature learning methods in video classification. The features learned by Principal Component Analysis whitening, Independent subspace… (more)

Subjects/Keywords: Klasifikace videa; video příznaky; učení příznaků; Analýza hlavních komponent; Nezávislá analýza podprostoru; Řídké Autoenkodéry; Bag of Words; Support Vector Machine; Multiple Kernel Learning; Video Classification; video features; feature learning; Principal component analysis; Independent subspace analysis; Sparse Autoencoders; Bag of Words; Support Vector Machine; Multiple Kernel Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Behúň, K. (2018). Příznaky z videa pro klasifikaci: Video Feature for Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53510

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Behúň, Kamil. “Příznaky z videa pro klasifikaci: Video Feature for Classification.” 2018. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/53510.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Behúň, Kamil. “Příznaky z videa pro klasifikaci: Video Feature for Classification.” 2018. Web. 04 Dec 2020.

Vancouver:

Behúň K. Příznaky z videa pro klasifikaci: Video Feature for Classification. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/53510.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Behúň K. Příznaky z videa pro klasifikaci: Video Feature for Classification. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53510

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Němec, Ladislav. Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization.

Degree: 2019, Brno University of Technology

 This thesis deals with automatic content-based image classification. The main goal of this work is implementation of application which is able to perform this task… (more)

Subjects/Keywords: Automatická kategorizace fotografií; lokální příznaky; význačné body; SURF; k-means; visuální slovník; visuální slova; Bag Of Words; Support Vector Machines; knihovna OpenCV.; automatic content-based image categorization; local features; interesting points; SURF; k-means; visual codebook; visual word; Bag Of Words; Support Vector Machines; OpenCV library.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Němec, L. (2019). Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Němec, Ladislav. “Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/52346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Němec, Ladislav. “Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization.” 2019. Web. 04 Dec 2020.

Vancouver:

Němec L. Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/52346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Němec L. Automatická kategorizace fotografií podle obsahu: Automatic Content-Based Image Categorization. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Dobrotka, Matúš. Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example.

Degree: 2019, Brno University of Technology

 This thesis deals with content-based image retrieval. The objective of the thesis is to develop an application, which will compare different approaches of image retrieval.… (more)

Subjects/Keywords: vyhledávání fotografií; klíčový bod; SIFT; lokální příznaky; vizuální slovník; bag of words; shlukování; k-means; neuronové sítě; hluboké konvoluční neuronové sítě; konvoluce; image retrieval; keypoint; SIFT; local features; visual vocabulary; bag of words; clustering; k-means; neural networks; deep convolutional neural networks; convolution

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dobrotka, M. (2019). Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dobrotka, Matúš. “Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/52402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dobrotka, Matúš. “Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example.” 2019. Web. 04 Dec 2020.

Vancouver:

Dobrotka M. Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/52402.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dobrotka M. Vyhledávání fotografií v databázi podle příkladu: Image Database Query by Example. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52402

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Bradford

14. Alqasrawi, Yousef T. N. Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words.

Degree: PhD, 2012, University of Bradford

 With the availability of inexpensive hardware and software, digital imaging has become an important medium of communication in our daily lives. A huge amount of… (more)

Subjects/Keywords: 004; Image classification; Image retrieval; Bag of visual words; Visual vocabulary; Features fusion; Spatial pyramid layout; Concept-based bag of visual words; Digital images; Natural scene classification; Keypoints density-based weighting method (KDW)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alqasrawi, Y. T. N. (2012). Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5523

Chicago Manual of Style (16th Edition):

Alqasrawi, Yousef T N. “Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words.” 2012. Doctoral Dissertation, University of Bradford. Accessed December 04, 2020. http://hdl.handle.net/10454/5523.

MLA Handbook (7th Edition):

Alqasrawi, Yousef T N. “Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words.” 2012. Web. 04 Dec 2020.

Vancouver:

Alqasrawi YTN. Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words. [Internet] [Doctoral dissertation]. University of Bradford; 2012. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10454/5523.

Council of Science Editors:

Alqasrawi YTN. Natural scene classification, annotation and retrieval : developing different approaches for semantic scene modelling based on Bag of Visual Words. [Doctoral Dissertation]. University of Bradford; 2012. Available from: http://hdl.handle.net/10454/5523

15. 永橋, 知行||ナガハシ, トモユキ||Nagahashi, Tomoyuki. グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation.

Degree: 博士(工学), 2012, Chubu University / 中部大学

Subjects/Keywords: 一般物体認識(Object Categorization)、Graph Cuts、Bag-of-features

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APA (6th Edition):

永橋, 知行||ナガハシ, トモユキ||Nagahashi, T. (2012). グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation. (Thesis). Chubu University / 中部大学. Retrieved from http://opac.bliss.chubu.ac.jp/e-Lib/ctlsrh.do?bibid=XD12000086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

永橋, 知行||ナガハシ, トモユキ||Nagahashi, Tomoyuki. “グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation.” 2012. Thesis, Chubu University / 中部大学. Accessed December 04, 2020. http://opac.bliss.chubu.ac.jp/e-Lib/ctlsrh.do?bibid=XD12000086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

永橋, 知行||ナガハシ, トモユキ||Nagahashi, Tomoyuki. “グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation.” 2012. Web. 04 Dec 2020.

Vancouver:

永橋, 知行||ナガハシ, トモユキ||Nagahashi T. グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation. [Internet] [Thesis]. Chubu University / 中部大学; 2012. [cited 2020 Dec 04]. Available from: http://opac.bliss.chubu.ac.jp/e-Lib/ctlsrh.do?bibid=XD12000086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

永橋, 知行||ナガハシ, トモユキ||Nagahashi T. グラフカットセグメンテーションを用いた前景と背景の共起性に基づく画像分類の高精度化に関する研究 : グラフカットセグメンテーション オ モチイタ ゼンケイ ト ハイケイ ノ キョウキセイ ニ モトズク ガゾウ ブンルイ ノ コウセイドカ ニ カンスル ケンキュウ; Image Categorization based on Co-occurrence of Foreground and Background Obtained by Graph Cuts Segmentation. [Thesis]. Chubu University / 中部大学; 2012. Available from: http://opac.bliss.chubu.ac.jp/e-Lib/ctlsrh.do?bibid=XD12000086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Robson de Carvalho Soares. Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana.

Degree: 2012, Federal University of Uberlândia

Bag-of-visual-features é uma abordagem bem conhecida pela classicação de padrões e recuperação de imagens por conteúdo. Toda a imagem é descrita por um histograma normalizado… (more)

Subjects/Keywords: Dicionário de palavras; Versões de imagem; Sift; Histogramas; CIENCIA DA COMPUTACAO; Processamento de imagens - Técnicas digitais; Content-based image retrieval; Bag-of-visual-features; Codebook; Histograms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soares, R. d. C. (2012). Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4815 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4816

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soares, Robson de Carvalho. “Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana.” 2012. Thesis, Federal University of Uberlândia. Accessed December 04, 2020. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4815 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4816.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soares, Robson de Carvalho. “Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana.” 2012. Web. 04 Dec 2020.

Vancouver:

Soares RdC. Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana. [Internet] [Thesis]. Federal University of Uberlândia; 2012. [cited 2020 Dec 04]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4815 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4816.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soares RdC. Extensão do bag-of-visual-features para incorporar informação espacial na descrição de características de acordo com a percepção visual humana. [Thesis]. Federal University of Uberlândia; 2012. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4815 ; http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=4816

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Zaanen, L.K. Bag-of-Features Model, Application to Medical Image Classi?cation.

Degree: 2014, Universiteit Utrecht

 The aim of this study is to investigate the Bag-of-Features (BoF) model and its application to medical image classification. With this model, images, or parts… (more)

Subjects/Keywords: Bag-of-Features Model; Medical Image Classification; Literature Study

…PLSA model the conditional probability of a bag of features given a class. An image is… …Triggs. Sampling Strategies for Bag-of-Features Image Classication. European Conference of… …literatuurstudie is het onderzoeken van het ’Bag-of-Features’ (BoF) model en de toepassingen… …lower level of invariance tend to perform better than invariant features [5]… …a global codebook, clusters of descriptors in an individual image, or individual features… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zaanen, L. K. (2014). Bag-of-Features Model, Application to Medical Image Classi?cation. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/297306

Chicago Manual of Style (16th Edition):

Zaanen, L K. “Bag-of-Features Model, Application to Medical Image Classi?cation.” 2014. Masters Thesis, Universiteit Utrecht. Accessed December 04, 2020. http://dspace.library.uu.nl:8080/handle/1874/297306.

MLA Handbook (7th Edition):

Zaanen, L K. “Bag-of-Features Model, Application to Medical Image Classi?cation.” 2014. Web. 04 Dec 2020.

Vancouver:

Zaanen LK. Bag-of-Features Model, Application to Medical Image Classi?cation. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Dec 04]. Available from: http://dspace.library.uu.nl:8080/handle/1874/297306.

Council of Science Editors:

Zaanen LK. Bag-of-Features Model, Application to Medical Image Classi?cation. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/297306


Universitat Politècnica de València

18. Oliver Moll, Javier. PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS .

Degree: 2015, Universitat Politècnica de València

 [EN] The presence of surveillance systems in our lives has drastically increased during the last years. Camera networks can be seen in almost every crowded… (more)

Subjects/Keywords: Computer vision; Artificial vision; Person re-identification; Person detection; Person description; Tracking; Matching; Kinect; Bodyprint; 3d bodyprint; Bag of appearances; Latent features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oliver Moll, J. (2015). PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/59227

Chicago Manual of Style (16th Edition):

Oliver Moll, Javier. “PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS .” 2015. Doctoral Dissertation, Universitat Politècnica de València. Accessed December 04, 2020. http://hdl.handle.net/10251/59227.

MLA Handbook (7th Edition):

Oliver Moll, Javier. “PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS .” 2015. Web. 04 Dec 2020.

Vancouver:

Oliver Moll J. PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2015. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10251/59227.

Council of Science Editors:

Oliver Moll J. PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS . [Doctoral Dissertation]. Universitat Politècnica de València; 2015. Available from: http://hdl.handle.net/10251/59227

19. 張, 興国. Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究).

Degree: 博士(工学), 2015, Akita Prefectural University / 秋田県立大学

平成26年度

Subjects/Keywords: Bag-of-Features; Visual World選択; 歩行者検知; 特徴点分布; 車載カメラ; Bag-of-Features

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APA (6th Edition):

張, . (2015). Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究). (Thesis). Akita Prefectural University / 秋田県立大学. Retrieved from http://id.nii.ac.jp/1180/00000473/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

張, 興国. “Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究).” 2015. Thesis, Akita Prefectural University / 秋田県立大学. Accessed December 04, 2020. http://id.nii.ac.jp/1180/00000473/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

張, 興国. “Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究).” 2015. Web. 04 Dec 2020.

Vancouver:

張 . Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究). [Internet] [Thesis]. Akita Prefectural University / 秋田県立大学; 2015. [cited 2020 Dec 04]. Available from: http://id.nii.ac.jp/1180/00000473/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

張 . Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images : Study on High Accuracy Method of Pedestrian Detection for Vehicle Camera Images (車載カメラ画像に対する歩行者検知手法の高精度化に関する研究). [Thesis]. Akita Prefectural University / 秋田県立大学; 2015. Available from: http://id.nii.ac.jp/1180/00000473/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. K. C., Santosh. Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme.

Degree: Docteur es, Informatique, 2011, Lorraine INP

Dans l’état de l’art actuel, la reconnaissance de symboles signifie généralement la reconnaissance des symboles isolés. Cependant, ces méthodes de reconnaissance de symboles isolés ne… (more)

Subjects/Keywords: Descripteur de Radon; Programmation dynamique; Descripteurs de forme; Vocabulaire visuel; Relations spaciales; Sac de caractéristiques spaciales; Reconnaissance graphique; Radon Features; Dynamic Programming; Shape Descriptors; Visual Vacabulary; Spatial Relations; Spatial-Bag-of-Features; Graphics Recognition; 005

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APA (6th Edition):

K. C., S. (2011). Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme. (Doctoral Dissertation). Lorraine INP. Retrieved from http://www.theses.fr/2011INPL096N

Chicago Manual of Style (16th Edition):

K. C., Santosh. “Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme.” 2011. Doctoral Dissertation, Lorraine INP. Accessed December 04, 2020. http://www.theses.fr/2011INPL096N.

MLA Handbook (7th Edition):

K. C., Santosh. “Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme.” 2011. Web. 04 Dec 2020.

Vancouver:

K. C. S. Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme. [Internet] [Doctoral dissertation]. Lorraine INP; 2011. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2011INPL096N.

Council of Science Editors:

K. C. S. Graphics Recognition using Spatial Relations and Shape Analysis : Reconnaissance de Graphiques en utilisant les Relations Spatiales et Analyse de la Forme. [Doctoral Dissertation]. Lorraine INP; 2011. Available from: http://www.theses.fr/2011INPL096N


Brno University of Technology

21. Veľas, Martin. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.

Degree: 2019, Brno University of Technology

 This thesis deals with content based automatic photo categorization. The aim of the work is to create an application, which is would be able to… (more)

Subjects/Keywords: kategorizace fotografii; tagování; lokální příznaky; význačné body; SURF; experimenty; vizuální slovník; vizuální slovy; shlukování; k-means; k-dimenzionální strom; bag of words; support vector machines; klasifikátor; dělení obrazu; barevné příznaky; barevné korelogramy; opponent color space; měkké přirazení; knihovna OpenCV; photo categorization; tagging; local features; interesting points; SURF; experiments; visual codebook; visual word; clustering; k-means; k-dimensional tree; bag of words; support vector machines; classifier; dividing of image; color features; color correlograms; opponent color space; soft assignment; OpenCV library

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Veľas, M. (2019). Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Veľas, Martin. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/55694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Veľas, Martin. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2019. Web. 04 Dec 2020.

Vancouver:

Veľas M. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/55694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Veľas M. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Veľas, Martin. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.

Degree: 2019, Brno University of Technology

 This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to… (more)

Subjects/Keywords: kategorizace fotografii; tagování; lokální příznaky; význačné body; SURF; SIFT; experimenty; vizuální slovník; vizuální slovy; shlukování; k-means; k-dimenzionální strom; bag of words; support vector machines; klasifikátor; dělení obrazu; barevné příznaky; barevné korelogramy; měkké přirazení; segmentace obrazu; knihovna OpenCV; photo categorization; tagging; local features; interesting points; SURF; SIFT; experiments; visual codebook; visual word; clustering; k-means; k-dimensional tree; bag of words; support vector machines; classifier; dividing of image; color features; color correlograms; soft assignment; image segmentation; OpenCV library

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Veľas, M. (2019). Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53542

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Veľas, Martin. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2019. Thesis, Brno University of Technology. Accessed December 04, 2020. http://hdl.handle.net/11012/53542.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Veľas, Martin. “Automatické třídění fotografií podle obsahu: Automatic Photography Categorization.” 2019. Web. 04 Dec 2020.

Vancouver:

Veľas M. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/11012/53542.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Veľas M. Automatické třídění fotografií podle obsahu: Automatic Photography Categorization. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53542

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kyoto University / 京都大学

23. Le, Thanh Tam. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム.

Degree: 博士(情報学), 2016, Kyoto University / 京都大学

新制・課程博士

甲第19417号

情博第596号

Subjects/Keywords: Metric learning; Kernel method; Histogram; Aitchison geometry; the probability simplex; Bag of features; Riemannian manifold

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Le, T. T. (2016). Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/204594 ; http://dx.doi.org/10.14989/doctor.k19417

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Le, Thanh Tam. “Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム.” 2016. Thesis, Kyoto University / 京都大学. Accessed December 04, 2020. http://hdl.handle.net/2433/204594 ; http://dx.doi.org/10.14989/doctor.k19417.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Le, Thanh Tam. “Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム.” 2016. Web. 04 Dec 2020.

Vancouver:

Le TT. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム. [Internet] [Thesis]. Kyoto University / 京都大学; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2433/204594 ; http://dx.doi.org/10.14989/doctor.k19417.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Le TT. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions : 距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識学習アルゴリズム. [Thesis]. Kyoto University / 京都大学; 2016. Available from: http://hdl.handle.net/2433/204594 ; http://dx.doi.org/10.14989/doctor.k19417

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. El Khoury, Rachid. Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D.

Degree: Docteur es, Informatique, 2013, Evry, Institut national des télécommunications

Un nombre croissant d’applications graphiques 3D ont un impact sur notre société. Ces applications sont utilisées dans plusieurs domaines allant des produits de divertissement numérique,… (more)

Subjects/Keywords: Modèles 3D; Noyau de la chaleur; Distance de diffusion; Distance de migration pendulaire; Graphes de Reeb; Indexation; Indexation partielle; Sacs de mots; 3D-models; Heat kernel; Diffusion distance; Commute time distance; Reeb graphs; Retrieval; Partial retrieval; Bag-of-features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

El Khoury, R. (2013). Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2013TELE0009

Chicago Manual of Style (16th Edition):

El Khoury, Rachid. “Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D.” 2013. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed December 04, 2020. http://www.theses.fr/2013TELE0009.

MLA Handbook (7th Edition):

El Khoury, Rachid. “Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D.” 2013. Web. 04 Dec 2020.

Vancouver:

El Khoury R. Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2013. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2013TELE0009.

Council of Science Editors:

El Khoury R. Partial 3D-shape indexing and retrieval : Indexation partielle de modèles 3D. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2013. Available from: http://www.theses.fr/2013TELE0009

25. Bhowmik, Neelanjan. Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections.

Degree: Docteur es, Sciences et Technologies de l'Information Géographique, 2017, Université Paris-Est

 La recherche d’images par contenu (CBIR) est une discipline de l’informatique qui vise à structurer automatiquement les collections d’images selon des critères visuels. Les fonctionnalités… (more)

Subjects/Keywords: Recherche d’image par contenu; Combinaison de caractéristiques; Sac de mots; Index inversé; Complémentarité spatiale; Recherche d’images inter-Domaines; Content-Based image retrieval; Feature combination; Bag-Of-Features; Inverted index; Spatial complementarity; Cross-Domain image retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhowmik, N. (2017). Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2017PESC1037

Chicago Manual of Style (16th Edition):

Bhowmik, Neelanjan. “Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections.” 2017. Doctoral Dissertation, Université Paris-Est. Accessed December 04, 2020. http://www.theses.fr/2017PESC1037.

MLA Handbook (7th Edition):

Bhowmik, Neelanjan. “Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections.” 2017. Web. 04 Dec 2020.

Vancouver:

Bhowmik N. Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections. [Internet] [Doctoral dissertation]. Université Paris-Est; 2017. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2017PESC1037.

Council of Science Editors:

Bhowmik N. Recherche multi-descripteurs dans les fonds photographiques numérisés : Multi-descriptor retrieval in digitalized photographs collections. [Doctoral Dissertation]. Université Paris-Est; 2017. Available from: http://www.theses.fr/2017PESC1037

26. Shi, Feng. Local Part Model for Action Recognition in Realistic Videos .

Degree: 2014, University of Ottawa

 This thesis presents a framework for automatic recognition of human actions in uncontrolled, realistic video data such as movies, internet and surveillance videos. In this… (more)

Subjects/Keywords: bag-of-features (BoF); action recognition; random sampling; local part model; multi-channel SVM

…6.3 Bag-of-features matching . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 6.4… …92 5.10 Comparison of performance on feature encoding with bag-of-features and Fisher… …discriminative information. 1.2 Motivations and objectives Local spatio-temporal features and bag-of… …problems that need to be addressed. Firstly, bag-of-features approach only contains statistics of… …challenges in this study. Local spatio-temporal features and bag-of-features representations… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shi, F. (2014). Local Part Model for Action Recognition in Realistic Videos . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Feng. “Local Part Model for Action Recognition in Realistic Videos .” 2014. Thesis, University of Ottawa. Accessed December 04, 2020. http://hdl.handle.net/10393/31147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Feng. “Local Part Model for Action Recognition in Realistic Videos .” 2014. Web. 04 Dec 2020.

Vancouver:

Shi F. Local Part Model for Action Recognition in Realistic Videos . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10393/31147.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi F. Local Part Model for Action Recognition in Realistic Videos . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31147

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

27. Hu, Rui 1984-. Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices.

Degree: PhD, Electrical Engineering, University of Houston

 Buruli ulcer (BU) disease is a devastating flesh eating bacterial infection that each year affects thousands of people in tropical and subtropical regions. Clinically, BU… (more)

Subjects/Keywords: Buruli Ulcer; Dermoscopy; Image Segmentation; Bag of Features; Multispectral imaging; Optical Skin Models; Image classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, R. 1. (n.d.). Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/3396

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Hu, Rui 1984-. “Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices.” Doctoral Dissertation, University of Houston. Accessed December 04, 2020. http://hdl.handle.net/10657/3396.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Hu, Rui 1984-. “Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices.” Web. 04 Dec 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Hu R1. Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices. [Internet] [Doctoral dissertation]. University of Houston; [cited 2020 Dec 04]. Available from: http://hdl.handle.net/10657/3396.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Hu R1. Automatic Recognition of Buruli Ulcer Images on Smart Handheld Devices. [Doctoral Dissertation]. University of Houston; Available from: http://hdl.handle.net/10657/3396

Note: this citation may be lacking information needed for this citation format:
No year of publication.

28. Bailly, Adeline. Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing.

Degree: Docteur es, Informatique, 2018, Rennes 2

La classification de séries temporelles a suscité beaucoup d’intérêt au cours des dernières années en raison de ces nombreuses applications. Nous commençons par proposer la… (more)

Subjects/Keywords: Classification des séries temporelles; Sac-de-mots; Shapelets de séries temporelles; Réseaux de neurones convolutionnels; Exemples adversaires; SIFT; Time Series Classification; Bag-of-Words; Time Series Shapelets; Convolutional Neural Networks; Adversarial Examples; SIFT features; 004.2; 510

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bailly, A. (2018). Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing. (Doctoral Dissertation). Rennes 2. Retrieved from http://www.theses.fr/2018REN20021

Chicago Manual of Style (16th Edition):

Bailly, Adeline. “Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing.” 2018. Doctoral Dissertation, Rennes 2. Accessed December 04, 2020. http://www.theses.fr/2018REN20021.

MLA Handbook (7th Edition):

Bailly, Adeline. “Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing.” 2018. Web. 04 Dec 2020.

Vancouver:

Bailly A. Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing. [Internet] [Doctoral dissertation]. Rennes 2; 2018. [cited 2020 Dec 04]. Available from: http://www.theses.fr/2018REN20021.

Council of Science Editors:

Bailly A. Classification de séries temporelles avec applications en télédétection : Time Series Classification Algorithms with Applications in Remote Sensing. [Doctoral Dissertation]. Rennes 2; 2018. Available from: http://www.theses.fr/2018REN20021


Kyoto University

29. Le, Thanh Tam. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions .

Degree: 2016, Kyoto University

Subjects/Keywords: Metric learning; Kernel method; Histogram; Aitchison geometry; the probability simplex; Bag of features; Riemannian manifold

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Le, T. T. (2016). Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/204594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Le, Thanh Tam. “Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions .” 2016. Thesis, Kyoto University. Accessed December 04, 2020. http://hdl.handle.net/2433/204594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Le, Thanh Tam. “Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions .” 2016. Web. 04 Dec 2020.

Vancouver:

Le TT. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions . [Internet] [Thesis]. Kyoto University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/2433/204594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Le TT. Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions . [Thesis]. Kyoto University; 2016. Available from: http://hdl.handle.net/2433/204594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Baydogan, Mustafa Gokce. Modeling Time Series Data for Supervised Learning.

Degree: PhD, Industrial Engineering, 2012, Arizona State University

 Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data.… (more)

Subjects/Keywords: Industrial engineering; Information science; Statistics; bag-of-features; codebook; feature extraction; pattern discovery; supervised learning; time series

…time series classification with a bag-of-features (TSBF) algorithm… …relations simultaneously for time series classification? 1. A Bag-of-Features framework to… …classify time series A framework based on the bag-of-features (BoF) representation is… …extraction strategy is proposed to learn a bag-of-features representation. This is distinctly… …3. Bag-of-Features approach Bag-of-features (BoF) approach characterizes complex… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Baydogan, M. G. (2012). Modeling Time Series Data for Supervised Learning. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/15792

Chicago Manual of Style (16th Edition):

Baydogan, Mustafa Gokce. “Modeling Time Series Data for Supervised Learning.” 2012. Doctoral Dissertation, Arizona State University. Accessed December 04, 2020. http://repository.asu.edu/items/15792.

MLA Handbook (7th Edition):

Baydogan, Mustafa Gokce. “Modeling Time Series Data for Supervised Learning.” 2012. Web. 04 Dec 2020.

Vancouver:

Baydogan MG. Modeling Time Series Data for Supervised Learning. [Internet] [Doctoral dissertation]. Arizona State University; 2012. [cited 2020 Dec 04]. Available from: http://repository.asu.edu/items/15792.

Council of Science Editors:

Baydogan MG. Modeling Time Series Data for Supervised Learning. [Doctoral Dissertation]. Arizona State University; 2012. Available from: http://repository.asu.edu/items/15792

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