Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Image Clustering). Showing records 1 – 30 of 134 total matches.

[1] [2] [3] [4] [5]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters


University of Louisville

1. Meredith, Jason Daron, 1982-. Adaptive constrained clustering with application to dynamic image database categorization and visualization.

Degree: PhD, 2010, University of Louisville

 The advent of larger storage spaces, affordable digital capturing devices, and an ever growing online community dedicated to sharing images has created a great need… (more)

Subjects/Keywords: CBIR; Clustering; Content based image retrieval; Constrained clustering; Image processing; Adaptive clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Meredith, Jason Daron, 1. (2010). Adaptive constrained clustering with application to dynamic image database categorization and visualization. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965

Chicago Manual of Style (16th Edition):

Meredith, Jason Daron, 1982-. “Adaptive constrained clustering with application to dynamic image database categorization and visualization.” 2010. Doctoral Dissertation, University of Louisville. Accessed November 13, 2019. 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965.

MLA Handbook (7th Edition):

Meredith, Jason Daron, 1982-. “Adaptive constrained clustering with application to dynamic image database categorization and visualization.” 2010. Web. 13 Nov 2019.

Vancouver:

Meredith, Jason Daron 1. Adaptive constrained clustering with application to dynamic image database categorization and visualization. [Internet] [Doctoral dissertation]. University of Louisville; 2010. [cited 2019 Nov 13]. Available from: 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965.

Council of Science Editors:

Meredith, Jason Daron 1. Adaptive constrained clustering with application to dynamic image database categorization and visualization. [Doctoral Dissertation]. University of Louisville; 2010. Available from: 10.18297/etd/965 ; https://ir.library.louisville.edu/etd/965


KTH

2. Bergholm, Marcus. Clustering users based on the user’s photo library.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

For any user-adaptive system the most important task is to provide the users with what they want and need without them asking for it… (more)

Subjects/Keywords: User clustering; image clustering; deep embedding clustering; DEC; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bergholm, M. (2018). Clustering users based on the user’s photo library. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230901

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):

Bergholm, Marcus. “Clustering users based on the user’s photo library.” 2018. Thesis, KTH. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230901.

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

MLA Handbook (7th Edition):

Bergholm, Marcus. “Clustering users based on the user’s photo library.” 2018. Web. 13 Nov 2019.

Vancouver:

Bergholm M. Clustering users based on the user’s photo library. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230901.

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

Council of Science Editors:

Bergholm M. Clustering users based on the user’s photo library. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230901

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


Penn State University

3. Zhang, Yu. discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives.

Degree: PhD, Information Sciences and Technology, 2014, Penn State University

 Big data brings new challenges and opportunities in many scientific areas today. Characterized by the high volume, velocity, and variety (3Vs) model, big data is… (more)

Subjects/Keywords: discrete distribution; clustering; parallel computing; image annotation; protein clustering; storm prediction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, Y. (2014). discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/24872

Chicago Manual of Style (16th Edition):

Zhang, Yu. “discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives.” 2014. Doctoral Dissertation, Penn State University. Accessed November 13, 2019. https://etda.libraries.psu.edu/catalog/24872.

MLA Handbook (7th Edition):

Zhang, Yu. “discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives.” 2014. Web. 13 Nov 2019.

Vancouver:

Zhang Y. discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives. [Internet] [Doctoral dissertation]. Penn State University; 2014. [cited 2019 Nov 13]. Available from: https://etda.libraries.psu.edu/catalog/24872.

Council of Science Editors:

Zhang Y. discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives. [Doctoral Dissertation]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/24872

4. Vuppala, Ranjith Kumar. Spectral Clustering for Segmentation of Fingerprint Images.

Degree: 2017, , Department of Applied Signal Processing

  Fingerprint recognition systems are one of the oldest biometric recognition systems, which are under constant development. Presence of noise in fingerprint severely affects performance… (more)

Subjects/Keywords: Segmentation; Clustering; Fingerprints; K-means; Spectral Clustering; Variance; Image gradient

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vuppala, R. K. (2017). Spectral Clustering for Segmentation of Fingerprint Images. (Thesis). , Department of Applied Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

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):

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Thesis, , Department of Applied Signal Processing. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

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

MLA Handbook (7th Edition):

Vuppala, Ranjith Kumar. “Spectral Clustering for Segmentation of Fingerprint Images.” 2017. Web. 13 Nov 2019.

Vancouver:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Internet] [Thesis]. , Department of Applied Signal Processing; 2017. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824.

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

Council of Science Editors:

Vuppala RK. Spectral Clustering for Segmentation of Fingerprint Images. [Thesis]. , Department of Applied Signal Processing; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13824

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

5. Gkaitatzis, Stamatios. Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN.

Degree: 2018, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

 The present doctoral dissertation focuses on three related but distinct topics.The first topic is the study of the production of W±Z and ZZ at proton-proton… (more)

Subjects/Keywords: Image processing; Clustering algorithms; Particle physics; FTK; Clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gkaitatzis, S. (2018). Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/43705

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):

Gkaitatzis, Stamatios. “Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN.” 2018. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed November 13, 2019. http://hdl.handle.net/10442/hedi/43705.

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

MLA Handbook (7th Edition):

Gkaitatzis, Stamatios. “Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN.” 2018. Web. 13 Nov 2019.

Vancouver:

Gkaitatzis S. Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10442/hedi/43705.

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

Council of Science Editors:

Gkaitatzis S. Study of diboson production and of the Fast Tracker upgrade in the ATLAS experiment at CERN. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2018. Available from: http://hdl.handle.net/10442/hedi/43705

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


Texas A&M University

6. Kang, Suk Sang 1975-. Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs.

Degree: 2012, Texas A&M University

 We propose a rigorous approach for well drainage volume calculations in gas reservoirs based on the flux field derived from dual porosity finite-difference simulation and… (more)

Subjects/Keywords: Image Clustering; Streamline Simulation; Fractured Reservoirs

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kang, S. S. 1. (2012). Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148064

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):

Kang, Suk Sang 1975-. “Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs.” 2012. Thesis, Texas A&M University. Accessed November 13, 2019. http://hdl.handle.net/1969.1/148064.

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

MLA Handbook (7th Edition):

Kang, Suk Sang 1975-. “Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs.” 2012. Web. 13 Nov 2019.

Vancouver:

Kang SS1. Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1969.1/148064.

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

Council of Science Editors:

Kang SS1. Model Calibration, Drainage Volume Calculation and Optimization in Heterogeneous Fractured Reservoirs. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148064

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


Miami University

7. CHEN, SHANGYE. ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION.

Degree: MS, Computer Science & Software Engineering, 2019, Miami University

Image segmentation is a very challenging task for image understanding because of the diverse and complex nature of images. Researchers have proposed and continue to… (more)

Subjects/Keywords: Computer Science; Image segmentation; FCM; Fuzzy clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

CHEN, S. (2019). ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273

Chicago Manual of Style (16th Edition):

CHEN, SHANGYE. “ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION.” 2019. Masters Thesis, Miami University. Accessed November 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273.

MLA Handbook (7th Edition):

CHEN, SHANGYE. “ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION.” 2019. Web. 13 Nov 2019.

Vancouver:

CHEN S. ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION. [Internet] [Masters thesis]. Miami University; 2019. [cited 2019 Nov 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273.

Council of Science Editors:

CHEN S. ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION. [Masters Thesis]. Miami University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273

8. Shojanazeri, Hamid. A new perceptual dissimilarity measure for image retrieval and clustering.

Degree: PhD, 2018, Federation University Australia

Image retrieval and clustering are two important tools for analysing and organising images. Dissimilarity measure is central to both image retrieval and clustering. The performance… (more)

Subjects/Keywords: Perceptual dissimilarity meaure; Image retrieval; Clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shojanazeri, H. (2018). A new perceptual dissimilarity measure for image retrieval and clustering. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633

Chicago Manual of Style (16th Edition):

Shojanazeri, Hamid. “A new perceptual dissimilarity measure for image retrieval and clustering.” 2018. Doctoral Dissertation, Federation University Australia. Accessed November 13, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633.

MLA Handbook (7th Edition):

Shojanazeri, Hamid. “A new perceptual dissimilarity measure for image retrieval and clustering.” 2018. Web. 13 Nov 2019.

Vancouver:

Shojanazeri H. A new perceptual dissimilarity measure for image retrieval and clustering. [Internet] [Doctoral dissertation]. Federation University Australia; 2018. [cited 2019 Nov 13]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633.

Council of Science Editors:

Shojanazeri H. A new perceptual dissimilarity measure for image retrieval and clustering. [Doctoral Dissertation]. Federation University Australia; 2018. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168086 ; https://library.federation.edu.au/record=b2766633

9. Lai, Hien Phuong. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.

Degree: Docteur es, Informatique et applications, 2013, La Rochelle

 Cette thèse s'inscrit dans la problématique de l'indexation et la recherche d'images par le contenu dans des bases d'images volumineuses. Les systèmes traditionnels de recherche… (more)

Subjects/Keywords: Indexation d'images; Clustering semi-supervisé; Clustering interactif; Apprentissage; Image indexing; Semi-supervised clustering; Interactive clustering; Machine learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lai, H. P. (2013). Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. (Doctoral Dissertation). La Rochelle. Retrieved from http://www.theses.fr/2013LAROS409

Chicago Manual of Style (16th Edition):

Lai, Hien Phuong. “Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.” 2013. Doctoral Dissertation, La Rochelle. Accessed November 13, 2019. http://www.theses.fr/2013LAROS409.

MLA Handbook (7th Edition):

Lai, Hien Phuong. “Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases.” 2013. Web. 13 Nov 2019.

Vancouver:

Lai HP. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. [Internet] [Doctoral dissertation]. La Rochelle; 2013. [cited 2019 Nov 13]. Available from: http://www.theses.fr/2013LAROS409.

Council of Science Editors:

Lai HP. Vers un système interactif de structuration des index pour une recherche par le contenu dans des grandes bases d'images : Towards an interactive index structuring system for content-based image retrieval in large image databases. [Doctoral Dissertation]. La Rochelle; 2013. Available from: http://www.theses.fr/2013LAROS409


University of Southern California

10. Chen, Na. Understanding semantic relationships between data objects.

Degree: PhD, Computer Science, 2013, University of Southern California

 Understanding the semantic relationships between data objects has been a critical step towards getting useful semantic information for better integration, search and decision-making. This thesis… (more)

Subjects/Keywords: image semantics; image understanding; image clustering; image search; relationship ranking; semantic data mining; Semantic Web

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, N. (2013). Understanding semantic relationships between data objects. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668

Chicago Manual of Style (16th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 13, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

MLA Handbook (7th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Web. 13 Nov 2019.

Vancouver:

Chen N. Understanding semantic relationships between data objects. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 13]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

Council of Science Editors:

Chen N. Understanding semantic relationships between data objects. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668


University of Louisville

11. Ismail, Mohamed Maher Ben, 1979-. Image annotation and retrieval based on multi-modal feature clustering and similarity propagation.

Degree: PhD, 2011, University of Louisville

 The performance of content-based image retrieval systems has proved to be inherently constrained by the used low level features, and cannot give satisfactory results when… (more)

Subjects/Keywords: Machine learning; Image annotation; Data mining; Clustering; Image retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ismail, Mohamed Maher Ben, 1. (2011). Image annotation and retrieval based on multi-modal feature clustering and similarity propagation. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/662 ; https://ir.library.louisville.edu/etd/662

Chicago Manual of Style (16th Edition):

Ismail, Mohamed Maher Ben, 1979-. “Image annotation and retrieval based on multi-modal feature clustering and similarity propagation.” 2011. Doctoral Dissertation, University of Louisville. Accessed November 13, 2019. 10.18297/etd/662 ; https://ir.library.louisville.edu/etd/662.

MLA Handbook (7th Edition):

Ismail, Mohamed Maher Ben, 1979-. “Image annotation and retrieval based on multi-modal feature clustering and similarity propagation.” 2011. Web. 13 Nov 2019.

Vancouver:

Ismail, Mohamed Maher Ben 1. Image annotation and retrieval based on multi-modal feature clustering and similarity propagation. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2019 Nov 13]. Available from: 10.18297/etd/662 ; https://ir.library.louisville.edu/etd/662.

Council of Science Editors:

Ismail, Mohamed Maher Ben 1. Image annotation and retrieval based on multi-modal feature clustering and similarity propagation. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/662 ; https://ir.library.louisville.edu/etd/662


University of California – Irvine

12. Balakrishna, Shonali. Event Recognition in Photo Streams.

Degree: Information and Computer Science, 2016, University of California – Irvine

 Visual information is now an increasingly important part of the data ecosystem. While photos are captured and shared widely over the internet, methods for image(more)

Subjects/Keywords: Computer science; Clustering; Event Recognition; Image Organization; Image Search; Probabilistic Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Balakrishna, S. (2016). Event Recognition in Photo Streams. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9bv1156r

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):

Balakrishna, Shonali. “Event Recognition in Photo Streams.” 2016. Thesis, University of California – Irvine. Accessed November 13, 2019. http://www.escholarship.org/uc/item/9bv1156r.

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

MLA Handbook (7th Edition):

Balakrishna, Shonali. “Event Recognition in Photo Streams.” 2016. Web. 13 Nov 2019.

Vancouver:

Balakrishna S. Event Recognition in Photo Streams. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Nov 13]. Available from: http://www.escholarship.org/uc/item/9bv1156r.

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

Council of Science Editors:

Balakrishna S. Event Recognition in Photo Streams. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/9bv1156r

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

13. Muhammad, Imran. Colorizing Grey Scale Images.

Degree: Computer Engineering, 2011, Dalarna University

  The purpose of this thesis is to develop a working methodology to color a grey scale image. This thesis is based on approach of… (more)

Subjects/Keywords: color image; grey image; color transfer; texture analysis; clustering texture

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Muhammad, I. (2011). Colorizing Grey Scale Images. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181

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):

Muhammad, Imran. “Colorizing Grey Scale Images.” 2011. Thesis, Dalarna University. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.

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

MLA Handbook (7th Edition):

Muhammad, Imran. “Colorizing Grey Scale Images.” 2011. Web. 13 Nov 2019.

Vancouver:

Muhammad I. Colorizing Grey Scale Images. [Internet] [Thesis]. Dalarna University; 2011. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.

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

Council of Science Editors:

Muhammad I. Colorizing Grey Scale Images. [Thesis]. Dalarna University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181

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

14. Sublime, Jérémie. Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images.

Degree: Docteur es, Informatique appliquée, 2016, Paris Saclay

Cette thèse présente plusieurs algorithmes développés dans le cadre du projet ANR COCLICO et contient deux axes principaux :Le premier axe concerne l'introduction d'un algorithme… (more)

Subjects/Keywords: Apprentissage non-Supervisé; Clustering collaboratif; Segmentation d'image; Unsupervised learning; Collaborative clustering; Image segmentation; 003.3

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sublime, J. (2016). Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2016SACLA005

Chicago Manual of Style (16th Edition):

Sublime, Jérémie. “Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images.” 2016. Doctoral Dissertation, Paris Saclay. Accessed November 13, 2019. http://www.theses.fr/2016SACLA005.

MLA Handbook (7th Edition):

Sublime, Jérémie. “Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images.” 2016. Web. 13 Nov 2019.

Vancouver:

Sublime J. Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images. [Internet] [Doctoral dissertation]. Paris Saclay; 2016. [cited 2019 Nov 13]. Available from: http://www.theses.fr/2016SACLA005.

Council of Science Editors:

Sublime J. Contributions au clustering collaboratif et à ses potentielles applications en imagerie à très haute résolution : Contributions to collaborative clustering and its potential applications on very high resolution satellite images. [Doctoral Dissertation]. Paris Saclay; 2016. Available from: http://www.theses.fr/2016SACLA005


University of Alberta

15. Wang, Jiemin. A Measure of Perceptual Aliasing in Image Descriptors.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 This thesis is concerned with a measure of perceptual aliasing in image descriptors. Perceptual aliasing occurs when the one-to-one mapping relations between world states (objects)… (more)

Subjects/Keywords: discriminating power; performance metric; spectral clustering; image descriptors; perceptual aliasing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, J. (2013). A Measure of Perceptual Aliasing in Image Descriptors. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/ww72bb89w

Chicago Manual of Style (16th Edition):

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Masters Thesis, University of Alberta. Accessed November 13, 2019. https://era.library.ualberta.ca/files/ww72bb89w.

MLA Handbook (7th Edition):

Wang, Jiemin. “A Measure of Perceptual Aliasing in Image Descriptors.” 2013. Web. 13 Nov 2019.

Vancouver:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Nov 13]. Available from: https://era.library.ualberta.ca/files/ww72bb89w.

Council of Science Editors:

Wang J. A Measure of Perceptual Aliasing in Image Descriptors. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/ww72bb89w


Oklahoma State University

16. Asmari Sadabad, Ali. Clustering Flyash Particles Using Image Processing Techniques.

Degree: Mechanical Engineering, 2014, Oklahoma State University

 Fly ash is one of the residues generated in combustion, and comprises the fine particles that rise with the flue gases. In the US about… (more)

Subjects/Keywords: circular gabor filter; clustering technique; flyash; image processing techniques

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Asmari Sadabad, A. (2014). Clustering Flyash Particles Using Image Processing Techniques. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/14701

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):

Asmari Sadabad, Ali. “Clustering Flyash Particles Using Image Processing Techniques.” 2014. Thesis, Oklahoma State University. Accessed November 13, 2019. http://hdl.handle.net/11244/14701.

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

MLA Handbook (7th Edition):

Asmari Sadabad, Ali. “Clustering Flyash Particles Using Image Processing Techniques.” 2014. Web. 13 Nov 2019.

Vancouver:

Asmari Sadabad A. Clustering Flyash Particles Using Image Processing Techniques. [Internet] [Thesis]. Oklahoma State University; 2014. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/11244/14701.

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

Council of Science Editors:

Asmari Sadabad A. Clustering Flyash Particles Using Image Processing Techniques. [Thesis]. Oklahoma State University; 2014. Available from: http://hdl.handle.net/11244/14701

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

17. Zhang, Wenlu. A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications.

Degree: PhD, Computer Science, 2016, Old Dominion University

  Many real-world processes are dynamically changing over time. As a consequence, the observed complex data generated by these processes also evolve smoothly. For example,… (more)

Subjects/Keywords: Clustering; Deep learning; Image analysis; Transfer learning; Bioinformatics; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, W. (2016). A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781369183627 ; https://digitalcommons.odu.edu/computerscience_etds/19

Chicago Manual of Style (16th Edition):

Zhang, Wenlu. “A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications.” 2016. Doctoral Dissertation, Old Dominion University. Accessed November 13, 2019. 9781369183627 ; https://digitalcommons.odu.edu/computerscience_etds/19.

MLA Handbook (7th Edition):

Zhang, Wenlu. “A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications.” 2016. Web. 13 Nov 2019.

Vancouver:

Zhang W. A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications. [Internet] [Doctoral dissertation]. Old Dominion University; 2016. [cited 2019 Nov 13]. Available from: 9781369183627 ; https://digitalcommons.odu.edu/computerscience_etds/19.

Council of Science Editors:

Zhang W. A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications. [Doctoral Dissertation]. Old Dominion University; 2016. Available from: 9781369183627 ; https://digitalcommons.odu.edu/computerscience_etds/19

18. Shen, Jiannan. Application of image segmentation in inspection of welding : Practical research in MATLAB.

Degree: Business and IT, 2012, University of Borås

As one of main methods in modern steel production, welding plays a very important role in our national economy, which has been widely applied… (more)

Subjects/Keywords: image segmentation; threshold; clustering; Engineering and Technology; Teknik och teknologier

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shen, J. (2012). Application of image segmentation in inspection of welding : Practical research in MATLAB. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16871

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):

Shen, Jiannan. “Application of image segmentation in inspection of welding : Practical research in MATLAB.” 2012. Thesis, University of Borås. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16871.

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

MLA Handbook (7th Edition):

Shen, Jiannan. “Application of image segmentation in inspection of welding : Practical research in MATLAB.” 2012. Web. 13 Nov 2019.

Vancouver:

Shen J. Application of image segmentation in inspection of welding : Practical research in MATLAB. [Internet] [Thesis]. University of Borås; 2012. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16871.

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

Council of Science Editors:

Shen J. Application of image segmentation in inspection of welding : Practical research in MATLAB. [Thesis]. University of Borås; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16871

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


Rochester Institute of Technology

19. Meinhold, Renee T. Robust Path-based Image Segmentation Using Superpixel Denoising.

Degree: MS, School of Mathematical Sciences (COS), 2018, Rochester Institute of Technology

Clustering is the important task of partitioning data into groups with similar characteristics, with one category being spectral clustering where data points are represented… (more)

Subjects/Keywords: Image segmentation; Out-of-sample extension; Path-based distance; Spectral clustering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Meinhold, R. T. (2018). Robust Path-based Image Segmentation Using Superpixel Denoising. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9893

Chicago Manual of Style (16th Edition):

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed November 13, 2019. https://scholarworks.rit.edu/theses/9893.

MLA Handbook (7th Edition):

Meinhold, Renee T. “Robust Path-based Image Segmentation Using Superpixel Denoising.” 2018. Web. 13 Nov 2019.

Vancouver:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Nov 13]. Available from: https://scholarworks.rit.edu/theses/9893.

Council of Science Editors:

Meinhold RT. Robust Path-based Image Segmentation Using Superpixel Denoising. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9893


KTH

20. Dackander, Erik. A comparative study on a practical use case for image clustering based on common shareability and metadata.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

As the amount of data increases every year, the need for effective structuring of data is a growing problem. This thesis aims to investigate… (more)

Subjects/Keywords: clustering; cluster analysis; machine learning; degoo; image clustering; comparative study; klustring; klusteranalys; maskininlärning; degoo; bildklustring; jämförande studie; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dackander, E. (2018). A comparative study on a practical use case for image clustering based on common shareability and metadata. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233318

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):

Dackander, Erik. “A comparative study on a practical use case for image clustering based on common shareability and metadata.” 2018. Thesis, KTH. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233318.

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

MLA Handbook (7th Edition):

Dackander, Erik. “A comparative study on a practical use case for image clustering based on common shareability and metadata.” 2018. Web. 13 Nov 2019.

Vancouver:

Dackander E. A comparative study on a practical use case for image clustering based on common shareability and metadata. [Internet] [Thesis]. KTH; 2018. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233318.

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

Council of Science Editors:

Dackander E. A comparative study on a practical use case for image clustering based on common shareability and metadata. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233318

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


University of Florida

21. Dobbins, Peter J. Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS).

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2017, University of Florida

 This work performs scene analysis, representing and understanding the elements contained in a defined area under the ground. Elements of interest include: the ground layer,… (more)

Subjects/Keywords: constrained-clustering  – ground-penetrating-radar  – image-segmentation  – markov-random-field  – scene-analysis  – semi-supervised-clustering  – semi-supervised-learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dobbins, P. J. (2017). Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS). (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051788

Chicago Manual of Style (16th Edition):

Dobbins, Peter J. “Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS).” 2017. Doctoral Dissertation, University of Florida. Accessed November 13, 2019. http://ufdc.ufl.edu/UFE0051788.

MLA Handbook (7th Edition):

Dobbins, Peter J. “Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS).” 2017. Web. 13 Nov 2019.

Vancouver:

Dobbins PJ. Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS). [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Nov 13]. Available from: http://ufdc.ufl.edu/UFE0051788.

Council of Science Editors:

Dobbins PJ. Scene Analysis Using the Markov Ground Region Segmentation System (MGRSS). [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051788


Universidade do Rio Grande do Norte

22. Siebra, Hélio de Albuquerque. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .

Degree: 2013, Universidade do Rio Grande do Norte

Image segmentation is the process of labeling pixels on di erent objects, an important step in many image processing systems. This work proposes a clustering(more)

Subjects/Keywords: Processamento de imagens. Segmentação. Divergência skew. Agrupamento; Skew divergence. Segmentation. Clustering. Textural color image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Siebra, H. d. A. (2013). Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18687

Chicago Manual of Style (16th Edition):

Siebra, Hélio de Albuquerque. “Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .” 2013. Masters Thesis, Universidade do Rio Grande do Norte. Accessed November 13, 2019. http://repositorio.ufrn.br/handle/123456789/18687.

MLA Handbook (7th Edition):

Siebra, Hélio de Albuquerque. “Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .” 2013. Web. 13 Nov 2019.

Vancouver:

Siebra HdA. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2013. [cited 2019 Nov 13]. Available from: http://repositorio.ufrn.br/handle/123456789/18687.

Council of Science Editors:

Siebra HdA. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . [Masters Thesis]. Universidade do Rio Grande do Norte; 2013. Available from: http://repositorio.ufrn.br/handle/123456789/18687


Anna University

23. Sujatha K. Image processing for flame monitoring in power station boilers;.

Degree: 2013, Anna University

The quality of combustion in power station boiler plays an important role in minimizing the flue gas emissions. In this research work, various intelligent schemes… (more)

Subjects/Keywords: Image processing; flame monitoring; power station boilers; K-means clustering; Distributed Control System

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

K, S. (2013). Image processing for flame monitoring in power station boilers;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13803

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):

K, Sujatha. “Image processing for flame monitoring in power station boilers;.” 2013. Thesis, Anna University. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13803.

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

MLA Handbook (7th Edition):

K, Sujatha. “Image processing for flame monitoring in power station boilers;.” 2013. Web. 13 Nov 2019.

Vancouver:

K S. Image processing for flame monitoring in power station boilers;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13803.

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

Council of Science Editors:

K S. Image processing for flame monitoring in power station boilers;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13803

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


Universidade do Rio Grande do Norte

24. Siebra, Hélio de Albuquerque. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .

Degree: 2013, Universidade do Rio Grande do Norte

Image segmentation is the process of labeling pixels on di erent objects, an important step in many image processing systems. This work proposes a clustering(more)

Subjects/Keywords: Processamento de imagens. Segmentação. Divergência skew. Agrupamento; Skew divergence. Segmentation. Clustering. Textural color image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Siebra, H. d. A. (2013). Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/18687

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):

Siebra, Hélio de Albuquerque. “Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .” 2013. Thesis, Universidade do Rio Grande do Norte. Accessed November 13, 2019. http://repositorio.ufrn.br/handle/123456789/18687.

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

MLA Handbook (7th Edition):

Siebra, Hélio de Albuquerque. “Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares .” 2013. Web. 13 Nov 2019.

Vancouver:

Siebra HdA. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2013. [cited 2019 Nov 13]. Available from: http://repositorio.ufrn.br/handle/123456789/18687.

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

Council of Science Editors:

Siebra HdA. Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares . [Thesis]. Universidade do Rio Grande do Norte; 2013. Available from: http://repositorio.ufrn.br/handle/123456789/18687

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

25. Tang, Xiaoying. BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES.

Degree: 2014, Johns Hopkins University

 The human brain is composed of a variety of structures, or regions of interest (ROIs), that are responsible for a range of functions. It is… (more)

Subjects/Keywords: Brain Segmentation; Diffeomorphic Likelihood Fusion; Statistical Shape Analysis; Image Registration; Manifold Learning and Clustering; Neuroinformatics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tang, X. (2014). BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/37928

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):

Tang, Xiaoying. “BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES.” 2014. Thesis, Johns Hopkins University. Accessed November 13, 2019. http://jhir.library.jhu.edu/handle/1774.2/37928.

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

MLA Handbook (7th Edition):

Tang, Xiaoying. “BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES.” 2014. Web. 13 Nov 2019.

Vancouver:

Tang X. BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2019 Nov 13]. Available from: http://jhir.library.jhu.edu/handle/1774.2/37928.

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

Council of Science Editors:

Tang X. BRAIN SEGMENTATION VIA DIFFEOMORPHIC LIKELIHOOD FUSION AND ITS APPLICATIONS TO CLINICAL ANALYSES. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/37928

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


University of Louisville

26. Baili, Naouel. Unsupervised and semi-supervised fuzzy clustering with multiple kernels.

Degree: PhD, 2013, University of Louisville

  For real-world clustering tasks, the input data is typically not easily separable due to the highly complex data structure or when clusters vary in… (more)

Subjects/Keywords: Clustering; Multiple kernel learning; Data mining; Semi-supervised learning; Pattern recognition; Image database categorization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Baili, N. (2013). Unsupervised and semi-supervised fuzzy clustering with multiple kernels. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/61 ; https://ir.library.louisville.edu/etd/61

Chicago Manual of Style (16th Edition):

Baili, Naouel. “Unsupervised and semi-supervised fuzzy clustering with multiple kernels.” 2013. Doctoral Dissertation, University of Louisville. Accessed November 13, 2019. 10.18297/etd/61 ; https://ir.library.louisville.edu/etd/61.

MLA Handbook (7th Edition):

Baili, Naouel. “Unsupervised and semi-supervised fuzzy clustering with multiple kernels.” 2013. Web. 13 Nov 2019.

Vancouver:

Baili N. Unsupervised and semi-supervised fuzzy clustering with multiple kernels. [Internet] [Doctoral dissertation]. University of Louisville; 2013. [cited 2019 Nov 13]. Available from: 10.18297/etd/61 ; https://ir.library.louisville.edu/etd/61.

Council of Science Editors:

Baili N. Unsupervised and semi-supervised fuzzy clustering with multiple kernels. [Doctoral Dissertation]. University of Louisville; 2013. Available from: 10.18297/etd/61 ; https://ir.library.louisville.edu/etd/61


Northeastern University

27. Lai, Andrew. False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals.

Degree: MS, Department of Electrical and Computer Engineering, 2012, Northeastern University

 Remote sensing of chemical vapors with hyperspectral imaging devices plays an important part in many civilian and military applications. The EPA uses hyperspectral imaging to… (more)

Subjects/Keywords: clustering; false alarm mitigation; Hyperspectral image processing; residuals; Electrical and Computer Engineering; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lai, A. (2012). False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002967

Chicago Manual of Style (16th Edition):

Lai, Andrew. “False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals.” 2012. Masters Thesis, Northeastern University. Accessed November 13, 2019. http://hdl.handle.net/2047/d20002967.

MLA Handbook (7th Edition):

Lai, Andrew. “False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals.” 2012. Web. 13 Nov 2019.

Vancouver:

Lai A. False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals. [Internet] [Masters thesis]. Northeastern University; 2012. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2047/d20002967.

Council of Science Editors:

Lai A. False alarm mitigation in hyperspectral detection of gaseous chemicals using knowledge of chemical library and residuals. [Masters Thesis]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002967


University of Waterloo

28. Tang, Meng. Optimization for Image Segmentation.

Degree: 2019, University of Waterloo

Image segmentation, i.e., assigning each pixel a discrete label, is an essential task in computer vision with lots of applications. Major techniques for segmentation include… (more)

Subjects/Keywords: image segmentation; optimization; Markov random field; kernel clustering; convolutional neural network; semi-supervised learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tang, M. (2019). Optimization for Image Segmentation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14780

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):

Tang, Meng. “Optimization for Image Segmentation.” 2019. Thesis, University of Waterloo. Accessed November 13, 2019. http://hdl.handle.net/10012/14780.

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

MLA Handbook (7th Edition):

Tang, Meng. “Optimization for Image Segmentation.” 2019. Web. 13 Nov 2019.

Vancouver:

Tang M. Optimization for Image Segmentation. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10012/14780.

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

Council of Science Editors:

Tang M. Optimization for Image Segmentation. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14780

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

29. Ben Said, Ahmed. Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles.

Degree: Docteur es, Informatique, 2015, Université de Bourgogne

La recherche en biométrie a connu une grande évolution durant les dernières annéessurtout avec le développement des méthodes de décomposition de visage. Cependant,ces méthodes ne… (more)

Subjects/Keywords: Image multispectrale; Amélioration des données sensorielles; Segmentation; Analyse de clustering débruitage; Multispectral image; Sensory data enhancement; Segmentation; Cluster analysis; Denoising; 006.4

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ben Said, A. (2015). Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles. (Doctoral Dissertation). Université de Bourgogne. Retrieved from http://www.theses.fr/2015DIJOS008

Chicago Manual of Style (16th Edition):

Ben Said, Ahmed. “Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles.” 2015. Doctoral Dissertation, Université de Bourgogne. Accessed November 13, 2019. http://www.theses.fr/2015DIJOS008.

MLA Handbook (7th Edition):

Ben Said, Ahmed. “Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles.” 2015. Web. 13 Nov 2019.

Vancouver:

Ben Said A. Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles. [Internet] [Doctoral dissertation]. Université de Bourgogne; 2015. [cited 2019 Nov 13]. Available from: http://www.theses.fr/2015DIJOS008.

Council of Science Editors:

Ben Said A. Multispectral imaging and its use for face recognition : sensory data enhancement : Imagerie multispectrale et son usage pour la reconnaissance de visage : amélioration des données sensorielles. [Doctoral Dissertation]. Université de Bourgogne; 2015. Available from: http://www.theses.fr/2015DIJOS008


Universidad Nacional de La Plata

30. Lorenti, Luciano. Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo.

Degree: 2014, Universidad Nacional de La Plata

El propósito de un método de segmentación es descomponer una imagen en sus partes constitutivas. Se han propuesto un gran número técnicas y algoritmos para… (more)

Subjects/Keywords: Ciencias Informáticas; segmentación espectral; cámaras de tiempo de vuelo; clustering; Segmentation; Image processing software; Digitization and Image Capture

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lorenti, L. (2014). Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo. (Thesis). Universidad Nacional de La Plata. Retrieved from http://hdl.handle.net/10915/34184

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):

Lorenti, Luciano. “Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo.” 2014. Thesis, Universidad Nacional de La Plata. Accessed November 13, 2019. http://hdl.handle.net/10915/34184.

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

MLA Handbook (7th Edition):

Lorenti, Luciano. “Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo.” 2014. Web. 13 Nov 2019.

Vancouver:

Lorenti L. Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo. [Internet] [Thesis]. Universidad Nacional de La Plata; 2014. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10915/34184.

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

Council of Science Editors:

Lorenti L. Segmentación espectral de imágenes obtenidas con cámaras de tiempo de vuelo. [Thesis]. Universidad Nacional de La Plata; 2014. Available from: http://hdl.handle.net/10915/34184

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

[1] [2] [3] [4] [5]

.