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You searched for subject:(Feature Extraction). Showing records 1 – 30 of 564 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 May 26, 2019. 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. 26 May 2019.

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 2019 May 26]. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Amelard R. High-Level Intuitive Features (HLIFs) for Melanoma Detection. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 May 26]. 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

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

Degree: 2018, TDX

 The use of measures of similarity, distances or metrics is a core central issue for many standard classification techniques, becoming a fundamental and important task… (more)

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

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APA (6th Edition):

López Iñesta, E. (2018). Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada. (Thesis). TDX. Retrieved from http://hdl.handle.net/10803/571591

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):

López Iñesta, Emilia. “Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada.” 2018. Thesis, TDX. Accessed May 26, 2019. http://hdl.handle.net/10803/571591.

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

MLA Handbook (7th Edition):

López Iñesta, Emilia. “Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada.” 2018. Web. 26 May 2019.

Vancouver:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada. [Internet] [Thesis]. TDX; 2018. [cited 2019 May 26]. Available from: http://hdl.handle.net/10803/571591.

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

Council of Science Editors:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada. [Thesis]. TDX; 2018. Available from: http://hdl.handle.net/10803/571591

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


Universitat de Valencia

4. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada . [Internet] [Doctoral dissertation]. Universitat de Valencia; 2017. [cited 2019 May 26]. 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


California State University – Sacramento

5. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 May 26]. 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


University of Adelaide

6. 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 (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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Baseri Huddin A. An investigation of automatic feature extraction for clustered microcalcifications on digital mammograms. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 May 26]. 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

7. 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 (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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Cho S. Dermal Radiomics: a new approach for computer-aided melanoma screening system. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 May 26]. 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


Halmstad University

8. 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 May 26, 2019. 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. 26 May 2019.

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 2019 May 26]. 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


Penn State University

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

Degree: PhD, Information Sciences and Technology, 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. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/14735

Chicago Manual of Style (16th Edition):

Ahn, Eun Yeong Yeong. “Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera.” 2012. Doctoral Dissertation, Penn State University. Accessed May 26, 2019. https://etda.libraries.psu.edu/catalog/14735.

MLA Handbook (7th Edition):

Ahn, Eun Yeong Yeong. “Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera.” 2012. Web. 26 May 2019.

Vancouver:

Ahn EYY. Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 May 26]. Available from: https://etda.libraries.psu.edu/catalog/14735.

Council of Science Editors:

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


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 solvingtraffic jams, avoiding accidents, choosing a perfect routine to destination and manyother problems. In vehicle-to-vehicle scenarios,… (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://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 May 26, 2019. https://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. 26 May 2019.

Vancouver:

Xia W. VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 May 26]. Available from: https://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://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


Texas A&M University

11. Fields, Matthew James. Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data.

Degree: 2009, Texas A&M University

 An experimental approach to traffic flow analysis is presented in which methodology from pattern recognition is applied to a specific dataset to examine its utility… (more)

Subjects/Keywords: Pattern Recognition; Feature Extraction; Microscopic Traffic

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APA (6th Edition):

Fields, M. J. (2009). Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2036

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):

Fields, Matthew James. “Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data.” 2009. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2036.

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

MLA Handbook (7th Edition):

Fields, Matthew James. “Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data.” 2009. Web. 26 May 2019.

Vancouver:

Fields MJ. Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2036.

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

Council of Science Editors:

Fields MJ. Facilitation of visual pattern recognition by extraction of relevant features from microscopic traffic data. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2036

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


Louisiana State University

12. 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 (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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Chen J. Vocal Fold Analysis From High Speed Videoendoscopic Data. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2019 May 26]. 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


Kansas State University

13. Erande, Abhijit. Automatic detection of significant features and event timeline construction from temporally tagged data.

Degree: MS, Department of Computing and Information Sciences, 2009, Kansas State University

 The goal of my project is to summarize large volumes of data and help users to visualize how events have unfolded over time. I address… (more)

Subjects/Keywords: Timeline generation; Feature extraction; Computer Science (0984)

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APA (6th Edition):

Erande, A. (2009). Automatic detection of significant features and event timeline construction from temporally tagged data. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/1675

Chicago Manual of Style (16th Edition):

Erande, Abhijit. “Automatic detection of significant features and event timeline construction from temporally tagged data.” 2009. Masters Thesis, Kansas State University. Accessed May 26, 2019. http://hdl.handle.net/2097/1675.

MLA Handbook (7th Edition):

Erande, Abhijit. “Automatic detection of significant features and event timeline construction from temporally tagged data.” 2009. Web. 26 May 2019.

Vancouver:

Erande A. Automatic detection of significant features and event timeline construction from temporally tagged data. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/2097/1675.

Council of Science Editors:

Erande A. Automatic detection of significant features and event timeline construction from temporally tagged data. [Masters Thesis]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/1675


University of Waterloo

14. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Li F. Automated Remote Sensing Image Interpretation with Limited Labeled Training Data. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2019 May 26]. 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


Linköping University

15. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Internet] [Thesis]. Linköping University; 2011. [cited 2019 May 26]. 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

16. Roumi, M. Implementing Texture Feature Extraction Algorithms on FPGA:.

Degree: 2009, Delft University of Technology

Feature extraction is a key function in various image processing applications. A feature is an image characteristic that can capture certain visual property of the… (more)

Subjects/Keywords: image processing; feature extraction; texture; FPGA

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

APA (6th Edition):

Roumi, M. (2009). Implementing Texture Feature Extraction Algorithms on FPGA:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5f7ba046-3a5c-46bb-8368-896a88f5e4a7

Chicago Manual of Style (16th Edition):

Roumi, M. “Implementing Texture Feature Extraction Algorithms on FPGA:.” 2009. Masters Thesis, Delft University of Technology. Accessed May 26, 2019. http://resolver.tudelft.nl/uuid:5f7ba046-3a5c-46bb-8368-896a88f5e4a7.

MLA Handbook (7th Edition):

Roumi, M. “Implementing Texture Feature Extraction Algorithms on FPGA:.” 2009. Web. 26 May 2019.

Vancouver:

Roumi M. Implementing Texture Feature Extraction Algorithms on FPGA:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 May 26]. Available from: http://resolver.tudelft.nl/uuid:5f7ba046-3a5c-46bb-8368-896a88f5e4a7.

Council of Science Editors:

Roumi M. Implementing Texture Feature Extraction Algorithms on FPGA:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:5f7ba046-3a5c-46bb-8368-896a88f5e4a7


Mississippi State University

17. Mitzev, Ivan Stefanov. A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA.

Degree: MS, Electrical and Computer Engineering, 2010, Mississippi State University

  EMG classification is widely used in electric control of mechanically developed prosthesis, robots development, clinical application etc. It has been evaluated for years, but… (more)

Subjects/Keywords: feature extraction; Mahalanobis distance; electromyography; pattern recognition

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

APA (6th Edition):

Mitzev, I. S. (2010). A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012010-235314/ ;

Chicago Manual of Style (16th Edition):

Mitzev, Ivan Stefanov. “A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA.” 2010. Masters Thesis, Mississippi State University. Accessed May 26, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012010-235314/ ;.

MLA Handbook (7th Edition):

Mitzev, Ivan Stefanov. “A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA.” 2010. Web. 26 May 2019.

Vancouver:

Mitzev IS. A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA. [Internet] [Masters thesis]. Mississippi State University; 2010. [cited 2019 May 26]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012010-235314/ ;.

Council of Science Editors:

Mitzev IS. A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA. [Masters Thesis]. Mississippi State University; 2010. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012010-235314/ ;


NSYSU

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

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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Yang C. Image classification via successive core tensor selection procedure. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 May 26]. 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


University of New South Wales

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

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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Li Z. Feature learning, selection and representation for object detection and recognition. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 May 26]. 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


Queensland University of Technology

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

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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Dong X. Content-based birdcall retrieval from environmental audio. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2019 May 26]. 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


Ohio University

21. Venable, Donald T. Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System.

Degree: MS, Electrical Engineering (Engineering and Technology), 2008, Ohio University

  This thesis describes an implementation of a 3D imaging sensor aided Inertial Measurement Unit navigation system. The thesis describes previous efforts in the area… (more)

Subjects/Keywords: Electrical Engineering; Flash Lidar; histogramming; navigation; feature extraction; feature association

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

APA (6th Edition):

Venable, D. T. (2008). Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1218764810

Chicago Manual of Style (16th Edition):

Venable, Donald T. “Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System.” 2008. Masters Thesis, Ohio University. Accessed May 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1218764810.

MLA Handbook (7th Edition):

Venable, Donald T. “Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System.” 2008. Web. 26 May 2019.

Vancouver:

Venable DT. Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System. [Internet] [Masters thesis]. Ohio University; 2008. [cited 2019 May 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1218764810.

Council of Science Editors:

Venable DT. Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System. [Masters Thesis]. Ohio University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1218764810


Arizona State University

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

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 May 26, 2019. http://repository.asu.edu/items/18027.

MLA Handbook (7th Edition):

Yamak, Didem. “Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography.” 2013. Web. 26 May 2019.

Vancouver:

Yamak D. Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography. [Internet] [Doctoral dissertation]. Arizona State University; 2013. [cited 2019 May 26]. 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

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

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 May 26, 2019. https://trace.tennessee.edu/utk_graddiss/2710.

MLA Handbook (7th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Web. 26 May 2019.

Vancouver:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2019 May 26]. 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


Virginia Tech

24. Shen, Yuan. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 Computed tomographic colonography(CTC), also called virtual colonoscopy, uses CT scanning and computer post-processing to create two dimensional images and three dimensional virtual views inside of… (more)

Subjects/Keywords: Feature Extraction; Image Guided Colonoscopy; SLAM; Video Feature Tracking

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

APA (6th Edition):

Shen, Y. (2010). Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32275

Chicago Manual of Style (16th Edition):

Shen, Yuan. “Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.” 2010. Masters Thesis, Virginia Tech. Accessed May 26, 2019. http://hdl.handle.net/10919/32275.

MLA Handbook (7th Edition):

Shen, Yuan. “Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy.” 2010. Web. 26 May 2019.

Vancouver:

Shen Y. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/10919/32275.

Council of Science Editors:

Shen Y. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/32275


NSYSU

25. Fu, Wei-hao. Enhancement of Flower Classification with the Profile Feature.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 In this thesis, we propose an elegant method, based on machine learning, for the flower classification. There are three steps in our method. The process… (more)

Subjects/Keywords: inception-v3 model; Adaboost; flower classification; SVM; texture feature; color feature; segmentation; feature extraction

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

APA (6th Edition):

Fu, W. (2018). Enhancement of Flower Classification with the Profile Feature. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0326118-050537

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):

Fu, Wei-hao. “Enhancement of Flower Classification with the Profile Feature.” 2018. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0326118-050537.

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

MLA Handbook (7th Edition):

Fu, Wei-hao. “Enhancement of Flower Classification with the Profile Feature.” 2018. Web. 26 May 2019.

Vancouver:

Fu W. Enhancement of Flower Classification with the Profile Feature. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0326118-050537.

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

Council of Science Editors:

Fu W. Enhancement of Flower Classification with the Profile Feature. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0326118-050537

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


NSYSU

26. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Liu R. A Self-Constructing Fuzzy Feature Clustering for Text Categorization. [Internet] [Thesis]. NSYSU; 2009. [cited 2019 May 26]. 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

27. 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 May 26, 2019. 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. 26 May 2019.

Vancouver:

Wu B. Acceleration of Image Feature Extraction Algorithms. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 May 26]. 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


University of New South Wales

28. Hossain, Md Ali. Subspace Detection Approaches for Hyperspectral Image Classification.

Degree: Engineering & Information Technology Canberra, 2014, University of New South Wales

 Hyperspectral data provides rich information and is very useful for a range of applications from ground-cover types identification to target detection. With many benefits they… (more)

Subjects/Keywords: Feature selection; Image classification; Feature extraction; Mutual Information; Hyperspectral image; Feature reduction

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

APA (6th Edition):

Hossain, M. A. (2014). Subspace Detection Approaches for Hyperspectral Image Classification. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53507 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12202/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hossain, Md Ali. “Subspace Detection Approaches for Hyperspectral Image Classification.” 2014. Doctoral Dissertation, University of New South Wales. Accessed May 26, 2019. http://handle.unsw.edu.au/1959.4/53507 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12202/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hossain, Md Ali. “Subspace Detection Approaches for Hyperspectral Image Classification.” 2014. Web. 26 May 2019.

Vancouver:

Hossain MA. Subspace Detection Approaches for Hyperspectral Image Classification. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2019 May 26]. Available from: http://handle.unsw.edu.au/1959.4/53507 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12202/SOURCE02?view=true.

Council of Science Editors:

Hossain MA. Subspace Detection Approaches for Hyperspectral Image Classification. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53507 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12202/SOURCE02?view=true

29. Mamani, Gabriel Efrain Humpire. Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2012, University of São Paulo

Obter uma representação sucinta e representativa de imagens médicas é um desafio que tem sido perseguido por pesquisadores da área de processamento de imagens médicas… (more)

Subjects/Keywords: CAD; CAD; CBIR; CBIR; Extração de características; Feature extraction; Feature selection; Seleção de características

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

APA (6th Edition):

Mamani, G. E. H. (2012). Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-20022013-095418/ ;

Chicago Manual of Style (16th Edition):

Mamani, Gabriel Efrain Humpire. “Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas.” 2012. Masters Thesis, University of São Paulo. Accessed May 26, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-20022013-095418/ ;.

MLA Handbook (7th Edition):

Mamani, Gabriel Efrain Humpire. “Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas.” 2012. Web. 26 May 2019.

Vancouver:

Mamani GEH. Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2019 May 26]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-20022013-095418/ ;.

Council of Science Editors:

Mamani GEH. Seleção supervisionada de características por ranking para processar consultas por similaridade em imagens médicas. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-20022013-095418/ ;


Georgia Tech

30. Hwang, Sungkun. Predicting reliability in multidisciplinary engineering systems under uncertainty.

Degree: MS, Mechanical Engineering, 2016, Georgia Tech

 The proposed study develops a framework that can accurately capture and model input and output variables for multidisciplinary systems to mitigate the computational cost when… (more)

Subjects/Keywords: Stretchable electronics; Dimension reduction; Feature extraction; Feature selection; Artificial neural network; Probabilistic neural network

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

APA (6th Edition):

Hwang, S. (2016). Predicting reliability in multidisciplinary engineering systems under uncertainty. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54955

Chicago Manual of Style (16th Edition):

Hwang, Sungkun. “Predicting reliability in multidisciplinary engineering systems under uncertainty.” 2016. Masters Thesis, Georgia Tech. Accessed May 26, 2019. http://hdl.handle.net/1853/54955.

MLA Handbook (7th Edition):

Hwang, Sungkun. “Predicting reliability in multidisciplinary engineering systems under uncertainty.” 2016. Web. 26 May 2019.

Vancouver:

Hwang S. Predicting reliability in multidisciplinary engineering systems under uncertainty. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/1853/54955.

Council of Science Editors:

Hwang S. Predicting reliability in multidisciplinary engineering systems under uncertainty. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54955

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