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You searched for subject:(Feature extraction). Showing records 1 – 30 of 637 total matches.

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1. Kachouri, Rostom. Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases.

Degree: Docteur es, Traitement des images et du signal, 2010, Evry-Val d'Essonne; École nationale d'Ingénieurs de Sfax (Tunisie)

La reconnaissance d'images est un domaine de recherche qui a été largement étudié par la communauté scientifique. Les travaux proposés dans ce cadre s'adressent principalement… (more)

Subjects/Keywords: Extraction d'attributs; Feature extraction

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

APA (6th Edition):

Kachouri, R. (2010). Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases. (Doctoral Dissertation). Evry-Val d'Essonne; École nationale d'Ingénieurs de Sfax (Tunisie). Retrieved from http://www.theses.fr/2010EVRY0022

Chicago Manual of Style (16th Edition):

Kachouri, Rostom. “Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases.” 2010. Doctoral Dissertation, Evry-Val d'Essonne; École nationale d'Ingénieurs de Sfax (Tunisie). Accessed October 25, 2020. http://www.theses.fr/2010EVRY0022.

MLA Handbook (7th Edition):

Kachouri, Rostom. “Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases.” 2010. Web. 25 Oct 2020.

Vancouver:

Kachouri R. Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; École nationale d'Ingénieurs de Sfax (Tunisie); 2010. [cited 2020 Oct 25]. Available from: http://www.theses.fr/2010EVRY0022.

Council of Science Editors:

Kachouri R. Classification multi-modèles des images dans les bases hétérogènes : Multi-model image classification in heterogeneous databases. [Doctoral Dissertation]. Evry-Val d'Essonne; École nationale d'Ingénieurs de Sfax (Tunisie); 2010. Available from: http://www.theses.fr/2010EVRY0022


University of Waterloo

2. Amelard, Robert. High-Level Intuitive Features (HLIFs) for Melanoma Detection.

Degree: 2013, University of Waterloo

Feature extraction of segmented skin lesions is a pivotal step for implementing accurate decision support systems. Existing feature sets combine many ad-hoc calculations and are… (more)

Subjects/Keywords: feature extraction; melanoma

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APA (6th Edition):

Amelard, R. (2013). High-Level Intuitive Features (HLIFs) for Melanoma Detection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7761

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):

Amelard, Robert. “High-Level Intuitive Features (HLIFs) for Melanoma Detection.” 2013. Thesis, University of Waterloo. Accessed October 25, 2020. http://hdl.handle.net/10012/7761.

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

MLA Handbook (7th Edition):

Amelard, Robert. “High-Level Intuitive Features (HLIFs) for Melanoma Detection.” 2013. Web. 25 Oct 2020.

Vancouver:

Amelard R. High-Level Intuitive Features (HLIFs) for Melanoma Detection. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10012/7761.

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

Council of Science Editors:

Amelard R. High-Level Intuitive Features (HLIFs) for Melanoma Detection. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7761

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


Universitat de Valencia

3. López Iñesta, Emilia. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada .

Degree: 2017, Universitat de Valencia

 El uso de medidas de similitud, distancias o métricas se encuentra en la base del funcionamiento de numerosas técnicas estándar de clasificación, resultando además, una… (more)

Subjects/Keywords: distances; feature extraction; feature expansion; classification

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APA (6th Edition):

López Iñesta, E. (2017). Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada . (Doctoral Dissertation). Universitat de Valencia. Retrieved from http://hdl.handle.net/10550/61001

Chicago Manual of Style (16th Edition):

López Iñesta, Emilia. “Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada .” 2017. Doctoral Dissertation, Universitat de Valencia. Accessed October 25, 2020. http://hdl.handle.net/10550/61001.

MLA Handbook (7th Edition):

López Iñesta, Emilia. “Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada .” 2017. Web. 25 Oct 2020.

Vancouver:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada . [Internet] [Doctoral dissertation]. Universitat de Valencia; 2017. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10550/61001.

Council of Science Editors:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada . [Doctoral Dissertation]. Universitat de Valencia; 2017. Available from: http://hdl.handle.net/10550/61001


University of KwaZulu-Natal

4. Adebanjo, Hannah Morenike. Investigation of feature extraction algorithms and techniques for hyperspectral images.

Degree: 2017, University of KwaZulu-Natal

 Hyperspectral images (HSIs) are remote-sensed images that are characterized by very high spatial and spectral dimensions and nd applications, for example, in land cover classi… (more)

Subjects/Keywords: Hyperspectral images.; Feature extraction algorithms.

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APA (6th Edition):

Adebanjo, H. M. (2017). Investigation of feature extraction algorithms and techniques for hyperspectral images. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16758

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):

Adebanjo, Hannah Morenike. “Investigation of feature extraction algorithms and techniques for hyperspectral images.” 2017. Thesis, University of KwaZulu-Natal. Accessed October 25, 2020. https://researchspace.ukzn.ac.za/handle/10413/16758.

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

MLA Handbook (7th Edition):

Adebanjo, Hannah Morenike. “Investigation of feature extraction algorithms and techniques for hyperspectral images.” 2017. Web. 25 Oct 2020.

Vancouver:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2020 Oct 25]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16758.

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

Council of Science Editors:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Thesis]. University of KwaZulu-Natal; 2017. Available from: https://researchspace.ukzn.ac.za/handle/10413/16758

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


University of Adelaide

5. Baseri Huddin, Aqilah. An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms.

Degree: 2015, University of Adelaide

 Mammography is a common imaging modality used for breast screening. The limitations in reading mammogram images manually by radiologists have motivated an interest to the… (more)

Subjects/Keywords: microcalcifications; mammograms; feature extraction

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

APA (6th Edition):

Baseri Huddin, A. (2015). An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/97912

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):

Baseri Huddin, Aqilah. “An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms.” 2015. Thesis, University of Adelaide. Accessed October 25, 2020. http://hdl.handle.net/2440/97912.

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

MLA Handbook (7th Edition):

Baseri Huddin, Aqilah. “An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms.” 2015. Web. 25 Oct 2020.

Vancouver:

Baseri Huddin A. An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2440/97912.

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

Council of Science Editors:

Baseri Huddin A. An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/97912

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


Halmstad University

6. Mühlfellner, Peter. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.

Degree: Intelligent systems (IS-lab), 2011, Halmstad University

  We propose a scalable and fexible hardware architecture for the extraction of image features, used in conjunction with an attentional cascade classifier for appearance-based… (more)

Subjects/Keywords: Object Detection; Feature Extraction; FPGA

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

APA (6th Edition):

Mühlfellner, P. (2011). Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377

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):

Mühlfellner, Peter. “Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.” 2011. Thesis, Halmstad University. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377.

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

MLA Handbook (7th Edition):

Mühlfellner, Peter. “Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.” 2011. Web. 25 Oct 2020.

Vancouver:

Mühlfellner P. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. [Internet] [Thesis]. Halmstad University; 2011. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377.

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

Council of Science Editors:

Mühlfellner P. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. [Thesis]. Halmstad University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377

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


Georgia Tech

7. Kong, Tae Woon. Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 Theoretical self-similar processes have been an essential tool for modeling a wide range of real-world signals or images that describe phenomena in engineering, physics, medicine,… (more)

Subjects/Keywords: Wavelets; Classification; Feature extraction

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APA (6th Edition):

Kong, T. W. (2019). Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61244

Chicago Manual of Style (16th Edition):

Kong, Tae Woon. “Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed October 25, 2020. http://hdl.handle.net/1853/61244.

MLA Handbook (7th Edition):

Kong, Tae Woon. “Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications.” 2019. Web. 25 Oct 2020.

Vancouver:

Kong TW. Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/1853/61244.

Council of Science Editors:

Kong TW. Assessing self-similarity in redundant complex and quaternion wavelet domains: Theory and applications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61244

8. Cho, Sungjoon. Dermal Radiomics: a new approach for computer-aided melanoma screening system.

Degree: 2016, University of Waterloo

 Skin cancer is the most common form of cancer in North America, and melanoma is the most dangerous type of skin cancer. Melanoma originates from… (more)

Subjects/Keywords: classification; melanoma; feature extraction

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

APA (6th Edition):

Cho, S. (2016). Dermal Radiomics: a new approach for computer-aided melanoma screening system. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10657

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):

Cho, Sungjoon. “Dermal Radiomics: a new approach for computer-aided melanoma screening system.” 2016. Thesis, University of Waterloo. Accessed October 25, 2020. http://hdl.handle.net/10012/10657.

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

MLA Handbook (7th Edition):

Cho, Sungjoon. “Dermal Radiomics: a new approach for computer-aided melanoma screening system.” 2016. Web. 25 Oct 2020.

Vancouver:

Cho S. Dermal Radiomics: a new approach for computer-aided melanoma screening system. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10012/10657.

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

Council of Science Editors:

Cho S. Dermal Radiomics: a new approach for computer-aided melanoma screening system. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10657

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


California State University – Sacramento

9. Balasubramanian, Sinduja. Text mining on Amazon reviews to extract feature based feedback.

Degree: MS, Computer Science, 2017, California State University – Sacramento

 Analyzing the feedback on a product or a service helps to improve the quality of the product or service. That way, reviews from online shopping… (more)

Subjects/Keywords: NLP; Text mining; Feature extraction

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APA (6th Edition):

Balasubramanian, S. (2017). Text mining on Amazon reviews to extract feature based feedback. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198628

Chicago Manual of Style (16th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Masters Thesis, California State University – Sacramento. Accessed October 25, 2020. http://hdl.handle.net/10211.3/198628.

MLA Handbook (7th Edition):

Balasubramanian, Sinduja. “Text mining on Amazon reviews to extract feature based feedback.” 2017. Web. 25 Oct 2020.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10211.3/198628.

Council of Science Editors:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198628


Penn State University

10. Xia, Wentao. VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING.

Degree: 2018, Penn State University

 In self-driving vehicles, vehicle-to-vehicle communication is a key to solving traffic jams, avoiding accidents, choosing a perfect routine to destination and many other problems. In… (more)

Subjects/Keywords: self-driving; feature extraction; ORB feature; contour extraction; object tracking

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APA (6th Edition):

Xia, W. (2018). VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15350wzx12

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):

Xia, Wentao. “VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING.” 2018. Thesis, Penn State University. Accessed October 25, 2020. https://submit-etda.libraries.psu.edu/catalog/15350wzx12.

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

MLA Handbook (7th Edition):

Xia, Wentao. “VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING.” 2018. Web. 25 Oct 2020.

Vancouver:

Xia W. VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Oct 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/15350wzx12.

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

Council of Science Editors:

Xia W. VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15350wzx12

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


Penn State University

11. Ahn, Eun Yeong Yeong. Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera.

Degree: 2012, Penn State University

 Gesture recognition systems have garnered increasing interest for their potential to support more natural human-computer interactions. However, compared to other human-computer interaction technologies such as… (more)

Subjects/Keywords: Global Feature Extraction; Local Feature Extraction; DVS camera; Evolutionary Algorithm; Segmentation

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

APA (6th Edition):

Ahn, E. Y. Y. (2012). Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14735

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):

Ahn, Eun Yeong Yeong. “Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera.” 2012. Thesis, Penn State University. Accessed October 25, 2020. https://submit-etda.libraries.psu.edu/catalog/14735.

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

MLA Handbook (7th Edition):

Ahn, Eun Yeong Yeong. “Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera.” 2012. Web. 25 Oct 2020.

Vancouver:

Ahn EYY. Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/14735.

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

Council of Science Editors:

Ahn EYY. Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/14735

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


Penn State University

12. Callahan-Flintoft, Chloe. Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window.

Degree: 2019, Penn State University

 Reflexive attention allows the visual system to rapidly select and prioritize important visual information. As our environments are often changing, it is important to understand… (more)

Subjects/Keywords: Attentional drag theory; attention; feature extraction; N2pc

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APA (6th Edition):

Callahan-Flintoft, C. (2019). Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16263czc213

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):

Callahan-Flintoft, Chloe. “Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window.” 2019. Thesis, Penn State University. Accessed October 25, 2020. https://submit-etda.libraries.psu.edu/catalog/16263czc213.

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

MLA Handbook (7th Edition):

Callahan-Flintoft, Chloe. “Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window.” 2019. Web. 25 Oct 2020.

Vancouver:

Callahan-Flintoft C. Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/16263czc213.

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

Council of Science Editors:

Callahan-Flintoft C. Understanding the role of visual transients and the temporal autocorrelation of features in extending and closing the attentional window. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16263czc213

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


University of North Texas

13. Florescu, Corina Andreea. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.

Degree: 2019, University of North Texas

 Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words… (more)

Subjects/Keywords: keyphrase extraction; graph representation learning; feature learning

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

APA (6th Edition):

Florescu, C. A. (2019). SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1538730/

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):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Thesis, University of North Texas. Accessed October 25, 2020. https://digital.library.unt.edu/ark:/67531/metadc1538730/.

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

MLA Handbook (7th Edition):

Florescu, Corina Andreea. “SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction.” 2019. Web. 25 Oct 2020.

Vancouver:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Oct 25]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/.

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

Council of Science Editors:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1538730/

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


NSYSU

14. Yang, Cheng-Ju. Image classification via successive core tensor selection procedure.

Degree: Master, Applied Mathematics, 2018, NSYSU

 In the field of artificial intelligence, high-order tensor data have been studied and analyzed, such as the automated optical inspection and MRI. Therefore, tensor decompositions… (more)

Subjects/Keywords: data feature extraction; image classification; tensor decomposition

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APA (6th Edition):

Yang, C. (2018). Image classification via successive core tensor selection procedure. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0606118-151922

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):

Yang, Cheng-Ju. “Image classification via successive core tensor selection procedure.” 2018. Thesis, NSYSU. Accessed October 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0606118-151922.

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

MLA Handbook (7th Edition):

Yang, Cheng-Ju. “Image classification via successive core tensor selection procedure.” 2018. Web. 25 Oct 2020.

Vancouver:

Yang C. Image classification via successive core tensor selection procedure. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Oct 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0606118-151922.

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

Council of Science Editors:

Yang C. Image classification via successive core tensor selection procedure. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0606118-151922

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

15. Eroğlu, Hulisi. Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone.

Degree: Dil ve Tarih-Coğrafya Fakültesi, 2018, University of Ankara

 Bu tez çalışmasında, geleneksel yöntemler (öznitelik çıkarımı ve sınıflandırma) ve derin ağlar ile öğrenme olmak üzere iki ayrı yöntem, tek mikrofon ile ses kaynağı mesafesi… (more)

Subjects/Keywords: Sınıflandırma; Öznitelik çıkarımı; Classification; Feature extraction

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

APA (6th Edition):

Eroğlu, H. (2018). Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone. (Masters Thesis). University of Ankara. Retrieved from http://hdl.handle.net/20.500.12575/68858

Chicago Manual of Style (16th Edition):

Eroğlu, Hulisi. “Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone.” 2018. Masters Thesis, University of Ankara. Accessed October 25, 2020. http://hdl.handle.net/20.500.12575/68858.

MLA Handbook (7th Edition):

Eroğlu, Hulisi. “Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone.” 2018. Web. 25 Oct 2020.

Vancouver:

Eroğlu H. Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone. [Internet] [Masters thesis]. University of Ankara; 2018. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/20.500.12575/68858.

Council of Science Editors:

Eroğlu H. Tek mikrofon ile ses kaynağı uzaklığı tahmini: Audio source distance estimation via single microphone. [Masters Thesis]. University of Ankara; 2018. Available from: http://hdl.handle.net/20.500.12575/68858

16. Pham, Thanh Van. Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics .

Degree: 2018, Texas A&M University – Corpus Christi

 Efficient agriculture requires the assessment of plant characteristics. A higher crop yield can be achieved with good quality plant characteristic data. In this research, a… (more)

Subjects/Keywords: Agriculture; Characteristic; Data Visualization; Feature extraction; Plant

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

APA (6th Edition):

Pham, T. V. (2018). Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics . (Thesis). Texas A&M University – Corpus Christi. Retrieved from https://tamucc-ir.tdl.org/handle/1969.6/87018

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):

Pham, Thanh Van. “Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics .” 2018. Thesis, Texas A&M University – Corpus Christi. Accessed October 25, 2020. https://tamucc-ir.tdl.org/handle/1969.6/87018.

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

MLA Handbook (7th Edition):

Pham, Thanh Van. “Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics .” 2018. Web. 25 Oct 2020.

Vancouver:

Pham TV. Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics . [Internet] [Thesis]. Texas A&M University – Corpus Christi; 2018. [cited 2020 Oct 25]. Available from: https://tamucc-ir.tdl.org/handle/1969.6/87018.

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

Council of Science Editors:

Pham TV. Detection of plant characteristics and a comparison of effectiveness between 2d and 3d data visualization in supporting human perception of plant characteristics . [Thesis]. Texas A&M University – Corpus Christi; 2018. Available from: https://tamucc-ir.tdl.org/handle/1969.6/87018

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

17. Tate, Anne Rosemary. Pattern recognition analysis of in vivo magnetic resonance spectra.

Degree: PhD, 1996, University of Sussex

Subjects/Keywords: 621.3994; Feature extraction

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

APA (6th Edition):

Tate, A. R. (1996). Pattern recognition analysis of in vivo magnetic resonance spectra. (Doctoral Dissertation). University of Sussex. Retrieved from https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307732

Chicago Manual of Style (16th Edition):

Tate, Anne Rosemary. “Pattern recognition analysis of in vivo magnetic resonance spectra.” 1996. Doctoral Dissertation, University of Sussex. Accessed October 25, 2020. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307732.

MLA Handbook (7th Edition):

Tate, Anne Rosemary. “Pattern recognition analysis of in vivo magnetic resonance spectra.” 1996. Web. 25 Oct 2020.

Vancouver:

Tate AR. Pattern recognition analysis of in vivo magnetic resonance spectra. [Internet] [Doctoral dissertation]. University of Sussex; 1996. [cited 2020 Oct 25]. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307732.

Council of Science Editors:

Tate AR. Pattern recognition analysis of in vivo magnetic resonance spectra. [Doctoral Dissertation]. University of Sussex; 1996. Available from: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307732


Linköping University

18. Wasell, Richard. Automatisk detektering av diken i LiDAR-data.

Degree: Computer Vision, 2011, Linköping University

Den här rapporten har utrett möjligheten att automatiskt identifiera diken frånflygburet insamlat LiDAR-data. Den metod för identifiering som har valts harförst skapat en höjdbild… (more)

Subjects/Keywords: linear feature extraction; line detection; LiDAR; ditches

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

APA (6th Edition):

Wasell, R. (2011). Automatisk detektering av diken i LiDAR-data. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066

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):

Wasell, Richard. “Automatisk detektering av diken i LiDAR-data.” 2011. Thesis, Linköping University. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066.

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

MLA Handbook (7th Edition):

Wasell, Richard. “Automatisk detektering av diken i LiDAR-data.” 2011. Web. 25 Oct 2020.

Vancouver:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066.

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

Council of Science Editors:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066

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


Delft University of Technology

19. Kreuk, Laura (author). Sentiment Analysis: a comparison of feature sets for social data and reviews.

Degree: 2018, Delft University of Technology

Consumers share their experiences or opinion about products or brands in various channels nowadays, for example on review websites or social media. Sentiment analysis is… (more)

Subjects/Keywords: Sentiment Analysis; feature extraction; reviews; social data

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

APA (6th Edition):

Kreuk, L. (. (2018). Sentiment Analysis: a comparison of feature sets for social data and reviews. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97

Chicago Manual of Style (16th Edition):

Kreuk, Laura (author). “Sentiment Analysis: a comparison of feature sets for social data and reviews.” 2018. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97.

MLA Handbook (7th Edition):

Kreuk, Laura (author). “Sentiment Analysis: a comparison of feature sets for social data and reviews.” 2018. Web. 25 Oct 2020.

Vancouver:

Kreuk L(. Sentiment Analysis: a comparison of feature sets for social data and reviews. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97.

Council of Science Editors:

Kreuk L(. Sentiment Analysis: a comparison of feature sets for social data and reviews. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97


University of Illinois – Urbana-Champaign

20. Jain, Shubham. Landmarks for clothing retrieval.

Degree: MS, Computer Science, 2019, University of Illinois – Urbana-Champaign

 Clothing Retrieval is a task that is increasingly becoming popular with the rise of online shopping and social media’s popularity. We propose to solve the… (more)

Subjects/Keywords: clothing; retrieval; landmarks; keypoints; feature extraction

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

APA (6th Edition):

Jain, S. (2019). Landmarks for clothing retrieval. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104891

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):

Jain, Shubham. “Landmarks for clothing retrieval.” 2019. Thesis, University of Illinois – Urbana-Champaign. Accessed October 25, 2020. http://hdl.handle.net/2142/104891.

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

MLA Handbook (7th Edition):

Jain, Shubham. “Landmarks for clothing retrieval.” 2019. Web. 25 Oct 2020.

Vancouver:

Jain S. Landmarks for clothing retrieval. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2142/104891.

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

Council of Science Editors:

Jain S. Landmarks for clothing retrieval. [Thesis]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104891

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


University of Waterloo

21. Li, Fan. Automated Remote Sensing Image Interpretation with Limited Labeled Training Data.

Degree: 2015, University of Waterloo

 Automated remote sensing image interpretation has been investigated for more than a decade. In early years, most work was based on the assumption that there… (more)

Subjects/Keywords: remote sensing; classification; segmentation; feature extraction.

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

APA (6th Edition):

Li, F. (2015). Automated Remote Sensing Image Interpretation with Limited Labeled Training Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9571

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):

Li, Fan. “Automated Remote Sensing Image Interpretation with Limited Labeled Training Data.” 2015. Thesis, University of Waterloo. Accessed October 25, 2020. http://hdl.handle.net/10012/9571.

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

MLA Handbook (7th Edition):

Li, Fan. “Automated Remote Sensing Image Interpretation with Limited Labeled Training Data.” 2015. Web. 25 Oct 2020.

Vancouver:

Li F. Automated Remote Sensing Image Interpretation with Limited Labeled Training Data. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10012/9571.

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

Council of Science Editors:

Li F. Automated Remote Sensing Image Interpretation with Limited Labeled Training Data. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9571

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


Louisiana State University

22. Chen, Jing. Vocal Fold Analysis From High Speed Videoendoscopic Data.

Degree: PhD, Electrical and Computer Engineering, 2014, Louisiana State University

 High speed videoendoscopy (HSV) of the larynx far surpasses the limits of videostroboscopy in evaluating the vocal fold vibratory behavior by providing much higher frame… (more)

Subjects/Keywords: vocal fold; segmentaion; glottal axis; feature extraction

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

APA (6th Edition):

Chen, J. (2014). Vocal Fold Analysis From High Speed Videoendoscopic Data. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-05152014-135123 ; https://digitalcommons.lsu.edu/gradschool_dissertations/664

Chicago Manual of Style (16th Edition):

Chen, Jing. “Vocal Fold Analysis From High Speed Videoendoscopic Data.” 2014. Doctoral Dissertation, Louisiana State University. Accessed October 25, 2020. etd-05152014-135123 ; https://digitalcommons.lsu.edu/gradschool_dissertations/664.

MLA Handbook (7th Edition):

Chen, Jing. “Vocal Fold Analysis From High Speed Videoendoscopic Data.” 2014. Web. 25 Oct 2020.

Vancouver:

Chen J. Vocal Fold Analysis From High Speed Videoendoscopic Data. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2020 Oct 25]. Available from: etd-05152014-135123 ; https://digitalcommons.lsu.edu/gradschool_dissertations/664.

Council of Science Editors:

Chen J. Vocal Fold Analysis From High Speed Videoendoscopic Data. [Doctoral Dissertation]. Louisiana State University; 2014. Available from: etd-05152014-135123 ; https://digitalcommons.lsu.edu/gradschool_dissertations/664


University of New South Wales

23. Li, Zelin. Feature learning, selection and representation for object detection and recognition.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 The recent years have seen the increasing popularity of a wide range of applications in Computer Vision. Object Recognition is critical in determining the success… (more)

Subjects/Keywords: Feature Extraction; Computer Vision; Pattern Recognition

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APA (6th Edition):

Li, Z. (2017). Feature learning, selection and representation for object detection and recognition. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58813 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47626/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Li, Zelin. “Feature learning, selection and representation for object detection and recognition.” 2017. Doctoral Dissertation, University of New South Wales. Accessed October 25, 2020. http://handle.unsw.edu.au/1959.4/58813 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47626/SOURCE02?view=true.

MLA Handbook (7th Edition):

Li, Zelin. “Feature learning, selection and representation for object detection and recognition.” 2017. Web. 25 Oct 2020.

Vancouver:

Li Z. Feature learning, selection and representation for object detection and recognition. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Oct 25]. Available from: http://handle.unsw.edu.au/1959.4/58813 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47626/SOURCE02?view=true.

Council of Science Editors:

Li Z. Feature learning, selection and representation for object detection and recognition. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58813 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47626/SOURCE02?view=true


University of New South Wales

24. Wang, Yunqi. Detection and Classification of Disturbances in Islanded Micro-grid.

Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales

 Micro-grids are envisaged as single plug-and-play electrical systems that can operate either in grid-connected or islanded modes. Their main sources of power are renewable and… (more)

Subjects/Keywords: Feature extraction; Power quality; Micro-grid

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

APA (6th Edition):

Wang, Y. (2018). Detection and Classification of Disturbances in Islanded Micro-grid. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61517 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:56398/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wang, Yunqi. “Detection and Classification of Disturbances in Islanded Micro-grid.” 2018. Doctoral Dissertation, University of New South Wales. Accessed October 25, 2020. http://handle.unsw.edu.au/1959.4/61517 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:56398/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wang, Yunqi. “Detection and Classification of Disturbances in Islanded Micro-grid.” 2018. Web. 25 Oct 2020.

Vancouver:

Wang Y. Detection and Classification of Disturbances in Islanded Micro-grid. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2020 Oct 25]. Available from: http://handle.unsw.edu.au/1959.4/61517 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:56398/SOURCE02?view=true.

Council of Science Editors:

Wang Y. Detection and Classification of Disturbances in Islanded Micro-grid. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/61517 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:56398/SOURCE02?view=true


Queensland University of Technology

25. Dong, Xueyan. Content-based birdcall retrieval from environmental audio.

Degree: 2016, Queensland University of Technology

 This research investigates techniques to analyse long duration acoustic recordings to help ecologists monitor birdcall activities. It designs a generalized algorithm to identify a broad… (more)

Subjects/Keywords: birdcall retrieval; feature extraction; spectral ridge feature; event representation; environmental recording

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APA (6th Edition):

Dong, X. (2016). Content-based birdcall retrieval from environmental audio. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/94402/

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):

Dong, Xueyan. “Content-based birdcall retrieval from environmental audio.” 2016. Thesis, Queensland University of Technology. Accessed October 25, 2020. http://eprints.qut.edu.au/94402/.

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

MLA Handbook (7th Edition):

Dong, Xueyan. “Content-based birdcall retrieval from environmental audio.” 2016. Web. 25 Oct 2020.

Vancouver:

Dong X. Content-based birdcall retrieval from environmental audio. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2020 Oct 25]. Available from: http://eprints.qut.edu.au/94402/.

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

Council of Science Editors:

Dong X. Content-based birdcall retrieval from environmental audio. [Thesis]. Queensland University of Technology; 2016. Available from: http://eprints.qut.edu.au/94402/

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


Delft University of Technology

26. Wang, Yuyang (author). An automated ECG signal quality assessment method with supervised learning algorithm.

Degree: 2018, Delft University of Technology

 Wearable health has become a striking area in our daily life. Electrocardiogram (ECG) is one of the biomedical signals collected by the wearable or portable… (more)

Subjects/Keywords: ECG signal; quality assessment; Supervised Learning; Feature extraction; Feature selection

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APA (6th Edition):

Wang, Y. (. (2018). An automated ECG signal quality assessment method with supervised learning algorithm. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa

Chicago Manual of Style (16th Edition):

Wang, Yuyang (author). “An automated ECG signal quality assessment method with supervised learning algorithm.” 2018. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa.

MLA Handbook (7th Edition):

Wang, Yuyang (author). “An automated ECG signal quality assessment method with supervised learning algorithm.” 2018. Web. 25 Oct 2020.

Vancouver:

Wang Y(. An automated ECG signal quality assessment method with supervised learning algorithm. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa.

Council of Science Editors:

Wang Y(. An automated ECG signal quality assessment method with supervised learning algorithm. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:41eab0f1-05a5-440c-a43b-f2f12b15a8aa


Arizona State University

27. Yamak, Didem. Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography.

Degree: PhD, Bioengineering, 2013, Arizona State University

 Coronary heart disease (CHD) is the most prevalent cause of death worldwide. Atherosclerosis which is the condition of plaque buildup on the inside of the… (more)

Subjects/Keywords: Biomedical engineering; Atherosclerosis; Dual Energy Computed Tomography; feature extraction; feature selection

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APA (6th Edition):

Yamak, D. (2013). Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/18027

Chicago Manual of Style (16th Edition):

Yamak, Didem. “Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography.” 2013. Doctoral Dissertation, Arizona State University. Accessed October 25, 2020. http://repository.asu.edu/items/18027.

MLA Handbook (7th Edition):

Yamak, Didem. “Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography.” 2013. Web. 25 Oct 2020.

Vancouver:

Yamak D. Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography. [Internet] [Doctoral dissertation]. Arizona State University; 2013. [cited 2020 Oct 25]. Available from: http://repository.asu.edu/items/18027.

Council of Science Editors:

Yamak D. Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography. [Doctoral Dissertation]. Arizona State University; 2013. Available from: http://repository.asu.edu/items/18027


University of Tennessee – Knoxville

28. Luo, Jiajia. Feature Extraction and Recognition for Human Action Recognition.

Degree: 2014, University of Tennessee – Knoxville

 How to automatically label videos containing human motions is the task of human action recognition. Traditional human action recognition algorithms use the RGB videos as… (more)

Subjects/Keywords: feature extraction; feature representation; dictionary learning; sparse coding; Other Computer Engineering

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APA (6th Edition):

Luo, J. (2014). Feature Extraction and Recognition for Human Action Recognition. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/2710

Chicago Manual of Style (16th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 25, 2020. https://trace.tennessee.edu/utk_graddiss/2710.

MLA Handbook (7th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Web. 25 Oct 2020.

Vancouver:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2020 Oct 25]. Available from: https://trace.tennessee.edu/utk_graddiss/2710.

Council of Science Editors:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2014. Available from: https://trace.tennessee.edu/utk_graddiss/2710


NSYSU

29. Liu, Ren-jia. A Self-Constructing Fuzzy Feature Clustering for Text Categorization.

Degree: Master, Electrical Engineering, 2009, NSYSU

Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. In this paper, we propose a fuzzy similarity-based self-constructing… (more)

Subjects/Keywords: text classification; feature reduction; feature clustering; feature extraction; fuzzy clustering; fuzzy similarity

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

APA (6th Edition):

Liu, R. (2009). A Self-Constructing Fuzzy Feature Clustering for Text Categorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826109-151344

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):

Liu, Ren-jia. “A Self-Constructing Fuzzy Feature Clustering for Text Categorization.” 2009. Thesis, NSYSU. Accessed October 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826109-151344.

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

MLA Handbook (7th Edition):

Liu, Ren-jia. “A Self-Constructing Fuzzy Feature Clustering for Text Categorization.” 2009. Web. 25 Oct 2020.

Vancouver:

Liu R. A Self-Constructing Fuzzy Feature Clustering for Text Categorization. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Oct 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826109-151344.

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

Council of Science Editors:

Liu R. A Self-Constructing Fuzzy Feature Clustering for Text Categorization. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826109-151344

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


NSYSU

30. Wu, Bo-sheng. Acceleration of Image Feature Extraction Algorithms.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 The description of local features of images has been successfully applied to many areas, including wide baseline matching, object recognition, texture recognition, image retrieval, robot… (more)

Subjects/Keywords: scale-invariant feature transform; Speeded-Up Robust Feature; hardware acceleration; image feature extraction; OpenCL; GPGPU

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

APA (6th Edition):

Wu, B. (2014). Acceleration of Image Feature Extraction Algorithms. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810114-020324

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):

Wu, Bo-sheng. “Acceleration of Image Feature Extraction Algorithms.” 2014. Thesis, NSYSU. Accessed October 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810114-020324.

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

MLA Handbook (7th Edition):

Wu, Bo-sheng. “Acceleration of Image Feature Extraction Algorithms.” 2014. Web. 25 Oct 2020.

Vancouver:

Wu B. Acceleration of Image Feature Extraction Algorithms. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Oct 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810114-020324.

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

Council of Science Editors:

Wu B. Acceleration of Image Feature Extraction Algorithms. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810114-020324

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

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