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You searched for subject:(feature extraction). Showing records 1 – 30 of 586 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 February 26, 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. 26 Feb 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 Feb 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 February 26, 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. 26 Feb 2020.

Vancouver:

Amelard R. High-Level Intuitive Features (HLIFs) for Melanoma Detection. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2020 Feb 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


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 February 26, 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. 26 Feb 2020.

Vancouver:

López Iñesta E. Aprendizaje de similitudes entre pares de objetos mediante clasificación supervisada . [Internet] [Doctoral dissertation]. Universitat de Valencia; 2017. [cited 2020 Feb 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

4. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Balasubramanian S. Text mining on Amazon reviews to extract feature based feedback. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2020 Feb 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

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 (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 February 26, 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. 26 Feb 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 Feb 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

6. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Cho S. Dermal Radiomics: a new approach for computer-aided melanoma screening system. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Feb 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


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 February 26, 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. 26 Feb 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 Feb 26]. 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


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 February 26, 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. 26 Feb 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 Feb 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


University of KwaZulu-Natal

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

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 February 26, 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. 26 Feb 2020.

Vancouver:

Adebanjo HM. Investigation of feature extraction algorithms and techniques for hyperspectral images. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2020 Feb 26]. 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


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 February 26, 2020. 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 Feb 2020.

Vancouver:

Xia W. VEHICULAR FSO COMMUNICATION SYSTEM APPLYING REAL-TIME RECOGNITION AND TRACKING. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Feb 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


Penn State University

11. 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 (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 February 26, 2020. 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 Feb 2020.

Vancouver:

Ahn EYY. Evolutionary-based Feature Extraction for Gesture Recognition Using a Motion Camera. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2020 Feb 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


Texas A&M University

12. 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 February 26, 2020. 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 Feb 2020.

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 2020 Feb 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

13. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Chen J. Vocal Fold Analysis From High Speed Videoendoscopic Data. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2020 Feb 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

14. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Erande A. Automatic detection of significant features and event timeline construction from temporally tagged data. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2020 Feb 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


Delft University of Technology

15. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Roumi M. Implementing Texture Feature Extraction Algorithms on FPGA:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2020 Feb 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

16. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Mitzev IS. A PATTERN RECOGNITION APPROACH TO ELECTROMYOGRAPHY DATA. [Internet] [Masters thesis]. Mississippi State University; 2010. [cited 2020 Feb 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

17. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Yang C. Image classification via successive core tensor selection procedure. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Feb 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 Waterloo

18. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Li F. Automated Remote Sensing Image Interpretation with Limited Labeled Training Data. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2020 Feb 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


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 February 26, 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. 26 Feb 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 Feb 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

20. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Tate AR. Pattern recognition analysis of in vivo magnetic resonance spectra. [Internet] [Doctoral dissertation]. University of Sussex; 1996. [cited 2020 Feb 26]. 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


University of North Texas

21. 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 (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 February 26, 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. 26 Feb 2020.

Vancouver:

Florescu CA. SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Feb 26]. 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


University of Illinois – Urbana-Champaign

22. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Jain S. Landmarks for clothing retrieval. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2019. [cited 2020 Feb 26]. 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


Linköping University

23. 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 (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 February 26, 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. 26 Feb 2020.

Vancouver:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Feb 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

24. 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 February 26, 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. 26 Feb 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 Feb 26]. 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


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 · 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 February 26, 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. 26 Feb 2020.

Vancouver:

Dong X. Content-based birdcall retrieval from environmental audio. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2020 Feb 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

26. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Venable DT. Implementation of a 3D Imaging Sensor Aided Inertial Measurement Unit Navigation System. [Internet] [Masters thesis]. Ohio University; 2008. [cited 2020 Feb 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


University of Tennessee – Knoxville

27. 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 February 26, 2020. https://trace.tennessee.edu/utk_graddiss/2710.

MLA Handbook (7th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Web. 26 Feb 2020.

Vancouver:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2020 Feb 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

28. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Shen Y. Feature Extraction and Feasibility Study on CT Image Guided Colonoscopy. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2020 Feb 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


Arizona State University

29. 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 February 26, 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. 26 Feb 2020.

Vancouver:

Yamak D. Characterization of Coronary Atherosclerotic Plaques by Dual Energy Computed Tomography. [Internet] [Doctoral dissertation]. Arizona State University; 2013. [cited 2020 Feb 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


NSYSU

30. 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 February 26, 2020. 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 Feb 2020.

Vancouver:

Fu W. Enhancement of Flower Classification with the Profile Feature. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Feb 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

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