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You searched for subject:( sparse representation regression). Showing records 1 – 30 of 13727 total matches.

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Princeton University

1. Wang, Yun. Feature Screening for the Lasso .

Degree: PhD, 2015, Princeton University

 Recently, the sparse representation of data with respect to a dictionary of features has contributed to successful new methods in machine learning, pattern analysis, statistics… (more)

Subjects/Keywords: classification; feature screening; feature selection; lasso; machine learning; sparse representation/regression

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APA (6th Edition):

Wang, Y. (2015). Feature Screening for the Lasso . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01hq37vq979

Chicago Manual of Style (16th Edition):

Wang, Yun. “Feature Screening for the Lasso .” 2015. Doctoral Dissertation, Princeton University. Accessed June 17, 2019. http://arks.princeton.edu/ark:/88435/dsp01hq37vq979.

MLA Handbook (7th Edition):

Wang, Yun. “Feature Screening for the Lasso .” 2015. Web. 17 Jun 2019.

Vancouver:

Wang Y. Feature Screening for the Lasso . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Jun 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp01hq37vq979.

Council of Science Editors:

Wang Y. Feature Screening for the Lasso . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp01hq37vq979


University of Illinois – Urbana-Champaign

2. Wang, Zhangyang. Task-specific and interpretable feature learning.

Degree: PhD, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Deep learning models have had tremendous impacts in recent years, while a question has been raised by many: Is deep learning just a triumph of… (more)

Subjects/Keywords: deep learning; sparse representation

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APA (6th Edition):

Wang, Z. (2016). Task-specific and interpretable feature learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95560

Chicago Manual of Style (16th Edition):

Wang, Zhangyang. “Task-specific and interpretable feature learning.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/95560.

MLA Handbook (7th Edition):

Wang, Zhangyang. “Task-specific and interpretable feature learning.” 2016. Web. 17 Jun 2019.

Vancouver:

Wang Z. Task-specific and interpretable feature learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/95560.

Council of Science Editors:

Wang Z. Task-specific and interpretable feature learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95560


University of Illinois – Urbana-Champaign

3. Ghauri, Ahsan. Fast superresolution based on a network structure trained using sparse coding.

Degree: MS, 1200, 2012, University of Illinois – Urbana-Champaign

 In this thesis I present a novel approach to superresolution using a network structure. Sparse representation of image signals forms the cornerstone of our approach… (more)

Subjects/Keywords: Superresolution; sparse representation; regularization; optimization and dictionary

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APA (6th Edition):

Ghauri, A. (2012). Fast superresolution based on a network structure trained using sparse coding. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/34532

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):

Ghauri, Ahsan. “Fast superresolution based on a network structure trained using sparse coding.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/34532.

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

MLA Handbook (7th Edition):

Ghauri, Ahsan. “Fast superresolution based on a network structure trained using sparse coding.” 2012. Web. 17 Jun 2019.

Vancouver:

Ghauri A. Fast superresolution based on a network structure trained using sparse coding. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/34532.

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

Council of Science Editors:

Ghauri A. Fast superresolution based on a network structure trained using sparse coding. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/34532

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


Central Queensland University

4. Ben Tarif, E. Improving biometric image watermarking based on sparse approximation and frequency domain transforms.

Degree: 2018, Central Queensland University

 With the rapid growth of web-based applications, digital images can now be distributed much faster and easier, which resulted in the rise of problems such… (more)

Subjects/Keywords: Watermarking; Encryption; Sparse representation; 080106 Image Processing

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APA (6th Edition):

Ben Tarif, E. (2018). Improving biometric image watermarking based on sparse approximation and frequency domain transforms. (Thesis). Central Queensland University. Retrieved from http://hdl.cqu.edu.au/10018/1229230 ; http://dx.doi.org/10.4226/145/5b0203d5ff990

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):

Ben Tarif, E. “Improving biometric image watermarking based on sparse approximation and frequency domain transforms.” 2018. Thesis, Central Queensland University. Accessed June 17, 2019. http://hdl.cqu.edu.au/10018/1229230 ; http://dx.doi.org/10.4226/145/5b0203d5ff990.

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

MLA Handbook (7th Edition):

Ben Tarif, E. “Improving biometric image watermarking based on sparse approximation and frequency domain transforms.” 2018. Web. 17 Jun 2019.

Vancouver:

Ben Tarif E. Improving biometric image watermarking based on sparse approximation and frequency domain transforms. [Internet] [Thesis]. Central Queensland University; 2018. [cited 2019 Jun 17]. Available from: http://hdl.cqu.edu.au/10018/1229230 ; http://dx.doi.org/10.4226/145/5b0203d5ff990.

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

Council of Science Editors:

Ben Tarif E. Improving biometric image watermarking based on sparse approximation and frequency domain transforms. [Thesis]. Central Queensland University; 2018. Available from: http://hdl.cqu.edu.au/10018/1229230 ; http://dx.doi.org/10.4226/145/5b0203d5ff990

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


University of Newcastle

5. Hyder, Md Mashud. Estimation of sparse distributions.

Degree: PhD, 2012, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

A vector is called sparse when most of its components are zero. Many natural signals admit sparse representations… (more)

Subjects/Keywords: sparse signal processing; compressive sensing; nonconvex optimization; sparse representation

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APA (6th Edition):

Hyder, M. M. (2012). Estimation of sparse distributions. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/927260

Chicago Manual of Style (16th Edition):

Hyder, Md Mashud. “Estimation of sparse distributions.” 2012. Doctoral Dissertation, University of Newcastle. Accessed June 17, 2019. http://hdl.handle.net/1959.13/927260.

MLA Handbook (7th Edition):

Hyder, Md Mashud. “Estimation of sparse distributions.” 2012. Web. 17 Jun 2019.

Vancouver:

Hyder MM. Estimation of sparse distributions. [Internet] [Doctoral dissertation]. University of Newcastle; 2012. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1959.13/927260.

Council of Science Editors:

Hyder MM. Estimation of sparse distributions. [Doctoral Dissertation]. University of Newcastle; 2012. Available from: http://hdl.handle.net/1959.13/927260


University of Minnesota

6. Ebtehaj, Mohammad. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.

Degree: PhD, Civil Engineering, 2013, University of Minnesota

 The past decades have witnessed a remarkable emergence of new spaceborne and ground-based sources of multiscale remotely sensed geophysical data. Apart from applications related to… (more)

Subjects/Keywords: Inverse problem; Precipitation; Remote sensing; Sparse regularization; Sparse representation; Wavelet

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APA (6th Edition):

Ebtehaj, M. (2013). Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/159708

Chicago Manual of Style (16th Edition):

Ebtehaj, Mohammad. “Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.” 2013. Doctoral Dissertation, University of Minnesota. Accessed June 17, 2019. http://purl.umn.edu/159708.

MLA Handbook (7th Edition):

Ebtehaj, Mohammad. “Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation.” 2013. Web. 17 Jun 2019.

Vancouver:

Ebtehaj M. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Jun 17]. Available from: http://purl.umn.edu/159708.

Council of Science Editors:

Ebtehaj M. Hydro-meteorological inverse problems via sparse regularization: advanced frameworks for rainfall spaceborne estimation. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/159708


University of Illinois – Urbana-Champaign

7. Yang, Jianchao. Image super-resolution via sparse representation.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be… (more)

Subjects/Keywords: Super-resolution; image processing; sparse representation; compressive sensing; sparse coding

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APA (6th Edition):

Yang, J. (2010). Image super-resolution via sparse representation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16479

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, Jianchao. “Image super-resolution via sparse representation.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/16479.

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

MLA Handbook (7th Edition):

Yang, Jianchao. “Image super-resolution via sparse representation.” 2010. Web. 17 Jun 2019.

Vancouver:

Yang J. Image super-resolution via sparse representation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/16479.

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

Council of Science Editors:

Yang J. Image super-resolution via sparse representation. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16479

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


NSYSU

8. Chiou, Yi-Wen. Image/Video Deblocking via Sparse Representation.

Degree: Master, Electrical Engineering, 2012, NSYSU

 Blocking artifact, characterized by visually noticeable changes in pixel values along block boundaries, is a common problem in block-based image/video compression, especially at low bitrate… (more)

Subjects/Keywords: dictionary learning; MCA (morphological component analysis); sparse representation; Blocking artifact; sparse coding

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APA (6th Edition):

Chiou, Y. (2012). Image/Video Deblocking via Sparse Representation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0908112-231320

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):

Chiou, Yi-Wen. “Image/Video Deblocking via Sparse Representation.” 2012. Thesis, NSYSU. Accessed June 17, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0908112-231320.

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

MLA Handbook (7th Edition):

Chiou, Yi-Wen. “Image/Video Deblocking via Sparse Representation.” 2012. Web. 17 Jun 2019.

Vancouver:

Chiou Y. Image/Video Deblocking via Sparse Representation. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Jun 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0908112-231320.

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

Council of Science Editors:

Chiou Y. Image/Video Deblocking via Sparse Representation. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0908112-231320

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


University of California – San Diego

9. Ding, Yacong. Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery.

Degree: Electrical Engineering (Communication Theory and Systems), 2018, University of California – San Diego

 Massive multiple-input multiple-output (MIMO) is a promising technology for next generation communication systems, where the base station (BS) is equipped with a large number of… (more)

Subjects/Keywords: Electrical engineering; Compressive Sensing; Dictionary Learning; Massive MIMO; Sparse Bayesian Learning; Sparse Representation; Sparse Signal Recovery

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APA (6th Edition):

Ding, Y. (2018). Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/1hx7c4zk

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):

Ding, Yacong. “Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery.” 2018. Thesis, University of California – San Diego. Accessed June 17, 2019. http://www.escholarship.org/uc/item/1hx7c4zk.

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

MLA Handbook (7th Edition):

Ding, Yacong. “Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery.” 2018. Web. 17 Jun 2019.

Vancouver:

Ding Y. Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Jun 17]. Available from: http://www.escholarship.org/uc/item/1hx7c4zk.

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

Council of Science Editors:

Ding Y. Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/1hx7c4zk

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

10. Fu, Huanzhang. Contributions to generic visual object categorization : Catégorisation automatique d'images.

Degree: Docteur es, Informatique et Information pour la Société, 2010, Ecully, Ecole centrale de Lyon

Cette thèse de doctorat est consacrée à un sujet de recherche très porteur : la Catégorisation générique d’objets Visuels (VOC). En effet, les applications possibles… (more)

Subjects/Keywords: Catégorisation d'objets visuels; Sélection de descripteurs; Représentation d'images; Représentation sparse; Visual object categorization; Feature selection; Image representation; Sparse representation

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APA (6th Edition):

Fu, H. (2010). Contributions to generic visual object categorization : Catégorisation automatique d'images. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2010ECDL0044

Chicago Manual of Style (16th Edition):

Fu, Huanzhang. “Contributions to generic visual object categorization : Catégorisation automatique d'images.” 2010. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed June 17, 2019. http://www.theses.fr/2010ECDL0044.

MLA Handbook (7th Edition):

Fu, Huanzhang. “Contributions to generic visual object categorization : Catégorisation automatique d'images.” 2010. Web. 17 Jun 2019.

Vancouver:

Fu H. Contributions to generic visual object categorization : Catégorisation automatique d'images. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2010. [cited 2019 Jun 17]. Available from: http://www.theses.fr/2010ECDL0044.

Council of Science Editors:

Fu H. Contributions to generic visual object categorization : Catégorisation automatique d'images. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2010. Available from: http://www.theses.fr/2010ECDL0044


NSYSU

11. Huang, Yu-Hung. Noise Robust Speech Recognition using Sparse Representations.

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

 This paper aimed at improving the noise robustness of automatic speech recognition by using a novel technique, called exemplar-based sparse representation. In this paper, we… (more)

Subjects/Keywords: sparse representation; noise robustness; exemplar dictionary; feature enhancement; speech recognition

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APA (6th Edition):

Huang, Y. (2014). Noise Robust Speech Recognition using Sparse Representations. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423

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):

Huang, Yu-Hung. “Noise Robust Speech Recognition using Sparse Representations.” 2014. Thesis, NSYSU. Accessed June 17, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423.

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

MLA Handbook (7th Edition):

Huang, Yu-Hung. “Noise Robust Speech Recognition using Sparse Representations.” 2014. Web. 17 Jun 2019.

Vancouver:

Huang Y. Noise Robust Speech Recognition using Sparse Representations. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Jun 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423.

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

Council of Science Editors:

Huang Y. Noise Robust Speech Recognition using Sparse Representations. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801114-191423

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


University of Tennessee – Knoxville

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

Degree: 2014, University of Tennessee – Knoxville

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed June 17, 2019. https://trace.tennessee.edu/utk_graddiss/2710.

MLA Handbook (7th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Web. 17 Jun 2019.

Vancouver:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2019 Jun 17]. 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


Harvard University

13. Lin, Tsung-Han. Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication.

Degree: PhD, Computer Science, 2014, Harvard University

Recent theoretical study shows that the sparsest solution to an underdetermined linear system is unique, provided the solution vector is sufficiently sparse, and the operator… (more)

Subjects/Keywords: Computer science; Matching pursuit; Mutiuser MIMO; Representation learning; Sparse recovery

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APA (6th Edition):

Lin, T. (2014). Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274321

Chicago Manual of Style (16th Edition):

Lin, Tsung-Han. “Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication.” 2014. Doctoral Dissertation, Harvard University. Accessed June 17, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274321.

MLA Handbook (7th Edition):

Lin, Tsung-Han. “Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication.” 2014. Web. 17 Jun 2019.

Vancouver:

Lin T. Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2019 Jun 17]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274321.

Council of Science Editors:

Lin T. Stable and Efficient Sparse Recovery for Machine Learning and Wireless Communication. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274321


University of Wollongong

14. Zheng, Haoheng. Learning-based super-resolution with applications to intensity and depth images.

Degree: PhD, 2014, University of Wollongong

  Resolution is an important attribute for evaluating the quality of an image. In most applications, it is desirable to have high-resolution images rather than… (more)

Subjects/Keywords: image processing; super-resolution; sparse representation; joint regularization

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APA (6th Edition):

Zheng, H. (2014). Learning-based super-resolution with applications to intensity and depth images. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284

Chicago Manual of Style (16th Edition):

Zheng, Haoheng. “Learning-based super-resolution with applications to intensity and depth images.” 2014. Doctoral Dissertation, University of Wollongong. Accessed June 17, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284.

MLA Handbook (7th Edition):

Zheng, Haoheng. “Learning-based super-resolution with applications to intensity and depth images.” 2014. Web. 17 Jun 2019.

Vancouver:

Zheng H. Learning-based super-resolution with applications to intensity and depth images. [Internet] [Doctoral dissertation]. University of Wollongong; 2014. [cited 2019 Jun 17]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284.

Council of Science Editors:

Zheng H. Learning-based super-resolution with applications to intensity and depth images. [Doctoral Dissertation]. University of Wollongong; 2014. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ; http://ro.uow.edu.au/theses/4284


University of Wollongong

15. Yang, Jie. A machine learning paradigm based on sparse signal representation.

Degree: PhD, 2013, University of Wollongong

  Machine learning has been extensively investigated over the last three decades for its capability to learn mapping of functions from patterns. Nowadays, machine learning… (more)

Subjects/Keywords: sparse signal representation; compressed sensing; machine learning; model selection; dictionary learning

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APA (6th Edition):

Yang, J. (2013). A machine learning paradigm based on sparse signal representation. (Doctoral Dissertation). University of Wollongong. Retrieved from 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; http://ro.uow.edu.au/theses/3898

Chicago Manual of Style (16th Edition):

Yang, Jie. “A machine learning paradigm based on sparse signal representation.” 2013. Doctoral Dissertation, University of Wollongong. Accessed June 17, 2019. 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; http://ro.uow.edu.au/theses/3898.

MLA Handbook (7th Edition):

Yang, Jie. “A machine learning paradigm based on sparse signal representation.” 2013. Web. 17 Jun 2019.

Vancouver:

Yang J. A machine learning paradigm based on sparse signal representation. [Internet] [Doctoral dissertation]. University of Wollongong; 2013. [cited 2019 Jun 17]. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; http://ro.uow.edu.au/theses/3898.

Council of Science Editors:

Yang J. A machine learning paradigm based on sparse signal representation. [Doctoral Dissertation]. University of Wollongong; 2013. Available from: 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0906 ELECTRICAL AND ELECTRONIC ENGINEERING ; http://ro.uow.edu.au/theses/3898


King Abdullah University of Science and Technology

16. Bibi, Adel Aamer. Advances in RGB and RGBD Generic Object Trackers.

Degree: 2016, King Abdullah University of Science and Technology

 Visual object tracking is a classical and very popular problem in computer vision with a plethora of applications such as vehicle navigation, human computer interface,… (more)

Subjects/Keywords: Trackers; Correlation Filters; Convolution Filters; Sparse representation; RGBD Trackers; Synchronization; Registration

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

APA (6th Edition):

Bibi, A. A. (2016). Advances in RGB and RGBD Generic Object Trackers. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/609455

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):

Bibi, Adel Aamer. “Advances in RGB and RGBD Generic Object Trackers.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed June 17, 2019. http://hdl.handle.net/10754/609455.

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

MLA Handbook (7th Edition):

Bibi, Adel Aamer. “Advances in RGB and RGBD Generic Object Trackers.” 2016. Web. 17 Jun 2019.

Vancouver:

Bibi AA. Advances in RGB and RGBD Generic Object Trackers. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10754/609455.

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

Council of Science Editors:

Bibi AA. Advances in RGB and RGBD Generic Object Trackers. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/609455

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


Cornell University

17. Fang, Ruogu. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .

Degree: 2014, Cornell University

Subjects/Keywords: Deconvolution; Dictionary Learning; Sparse Representation

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

APA (6th Edition):

Fang, R. (2014). Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38911

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):

Fang, Ruogu. “Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .” 2014. Thesis, Cornell University. Accessed June 17, 2019. http://hdl.handle.net/1813/38911.

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

MLA Handbook (7th Edition):

Fang, Ruogu. “Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment .” 2014. Web. 17 Jun 2019.

Vancouver:

Fang R. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . [Internet] [Thesis]. Cornell University; 2014. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1813/38911.

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

Council of Science Editors:

Fang R. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38911

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

18. bi, xiaofei. Compressed Sampling for High Frequency Receivers Applications.

Degree: Mathematics and Natural Sciences, 2011, University of Gävle

  In digital signal processing field, for recovering the signal without distortion, Shannon sampling theory must be fulfilled in the traditional signal sampling. However, in… (more)

Subjects/Keywords: Compressive Sampling (CS); sparse representation; measurement matrix; signal reconstruction.

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

APA (6th Edition):

bi, x. (2011). Compressed Sampling for High Frequency Receivers Applications. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

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):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Thesis, University of Gävle. Accessed June 17, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

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

MLA Handbook (7th Edition):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Web. 17 Jun 2019.

Vancouver:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Internet] [Thesis]. University of Gävle; 2011. [cited 2019 Jun 17]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

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

Council of Science Editors:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Thesis]. University of Gävle; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

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


University of Illinois – Urbana-Champaign

19. Dikmen, Mert. A foreground detection system for automatic surveillance.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 Automated surveillance has long been an application goal of computer vision. An integral part of such surveillance systems is concerned with accurately segmenting foreground objects… (more)

Subjects/Keywords: computer vision; background subtraction; sparse representation; linear decoding; automatic surveillance

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

APA (6th Edition):

Dikmen, M. (2010). A foreground detection system for automatic surveillance. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14760

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):

Dikmen, Mert. “A foreground detection system for automatic surveillance.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/14760.

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

MLA Handbook (7th Edition):

Dikmen, Mert. “A foreground detection system for automatic surveillance.” 2010. Web. 17 Jun 2019.

Vancouver:

Dikmen M. A foreground detection system for automatic surveillance. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/14760.

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

Council of Science Editors:

Dikmen M. A foreground detection system for automatic surveillance. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14760

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


University of Southern California

20. Tan, Qun Feng. Novel variations of sparse representation techniques with applications.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 This thesis proposes novel variations of Sparse Representation techniques and shows successful applications to a variety of fields such as Automatic Speech Recognition (ASR) denoising,… (more)

Subjects/Keywords: algorithms; convex optimization; machine learning; pattern recognition; sparse representation; speech processing

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

APA (6th Edition):

Tan, Q. F. (2013). Novel variations of sparse representation techniques with applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469

Chicago Manual of Style (16th Edition):

Tan, Qun Feng. “Novel variations of sparse representation techniques with applications.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 17, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469.

MLA Handbook (7th Edition):

Tan, Qun Feng. “Novel variations of sparse representation techniques with applications.” 2013. Web. 17 Jun 2019.

Vancouver:

Tan QF. Novel variations of sparse representation techniques with applications. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 17]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469.

Council of Science Editors:

Tan QF. Novel variations of sparse representation techniques with applications. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/241019/rec/4469

21. Lu, Ying. Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -.

Degree: Docteur es, Informatique et Mathématiques, 2017, Lyon

 Lors de l’apprentissage d’un modèle de classification pour un nouveau domaine cible avec seulement une petite quantité d’échantillons de formation, l’application des algorithmes d’apprentissage automatiques… (more)

Subjects/Keywords: Transfert d'apprentissage; Inductive Transfer Learning; Sparse Representation; Optimal Transport; Computer Vision

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

APA (6th Edition):

Lu, Y. (2017). Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSEC045

Chicago Manual of Style (16th Edition):

Lu, Ying. “Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -.” 2017. Doctoral Dissertation, Lyon. Accessed June 17, 2019. http://www.theses.fr/2017LYSEC045.

MLA Handbook (7th Edition):

Lu, Ying. “Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -.” 2017. Web. 17 Jun 2019.

Vancouver:

Lu Y. Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2019 Jun 17]. Available from: http://www.theses.fr/2017LYSEC045.

Council of Science Editors:

Lu Y. Transfer Learning for Image Classification : Transfert de connaissances pour la classification des images -. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSEC045


University of Windsor

22. Li, Yifeng. Sparse machine learning models in bioinformatics.

Degree: PhD, Computer Science, 2014, University of Windsor

  The meaning of parsimony is twofold in machine learning: either the structure or (and) the parameter of a model can be sparse. Sparse models… (more)

Subjects/Keywords: Biological sciences; Applied sciences; High-order dynamic bayesian network; Linearmodels; Sparse machine learning models; Sparse representation; Spectral clustering

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

APA (6th Edition):

Li, Y. (2014). Sparse machine learning models in bioinformatics. (Doctoral Dissertation). University of Windsor. Retrieved from http://scholar.uwindsor.ca/etd/5023

Chicago Manual of Style (16th Edition):

Li, Yifeng. “Sparse machine learning models in bioinformatics.” 2014. Doctoral Dissertation, University of Windsor. Accessed June 17, 2019. http://scholar.uwindsor.ca/etd/5023.

MLA Handbook (7th Edition):

Li, Yifeng. “Sparse machine learning models in bioinformatics.” 2014. Web. 17 Jun 2019.

Vancouver:

Li Y. Sparse machine learning models in bioinformatics. [Internet] [Doctoral dissertation]. University of Windsor; 2014. [cited 2019 Jun 17]. Available from: http://scholar.uwindsor.ca/etd/5023.

Council of Science Editors:

Li Y. Sparse machine learning models in bioinformatics. [Doctoral Dissertation]. University of Windsor; 2014. Available from: http://scholar.uwindsor.ca/etd/5023


Temple University

23. Das, Debasish. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.

Degree: PhD, 2015, Temple University

Computer and Information Science

Sparse regressions based on constraining the L1-norm of the coefficients became popular due to their ability to handle high dimensional data… (more)

Subjects/Keywords: Computer science; Climate change;

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

APA (6th Edition):

Das, D. (2015). Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,313587

Chicago Manual of Style (16th Edition):

Das, Debasish. “Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.” 2015. Doctoral Dissertation, Temple University. Accessed June 17, 2019. http://digital.library.temple.edu/u?/p245801coll10,313587.

MLA Handbook (7th Edition):

Das, Debasish. “Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.” 2015. Web. 17 Jun 2019.

Vancouver:

Das D. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. [Internet] [Doctoral dissertation]. Temple University; 2015. [cited 2019 Jun 17]. Available from: http://digital.library.temple.edu/u?/p245801coll10,313587.

Council of Science Editors:

Das D. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. [Doctoral Dissertation]. Temple University; 2015. Available from: http://digital.library.temple.edu/u?/p245801coll10,313587


EPFL

24. Kyrillidis, Anastasios. Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences.

Degree: 2014, EPFL

 Many natural and man-made signals can be described as having a few degrees of freedom relative to their size due to natural parameterizations or constraints;… (more)

Subjects/Keywords: Sparse Euclidean projections; sparse linear regression; compressed sensing; affine rank minimization; matrix completion; structured sparsity; convex composite minimization; self-concordance

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APA (6th Edition):

Kyrillidis, A. (2014). Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/202053

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):

Kyrillidis, Anastasios. “Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences.” 2014. Thesis, EPFL. Accessed June 17, 2019. http://infoscience.epfl.ch/record/202053.

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

MLA Handbook (7th Edition):

Kyrillidis, Anastasios. “Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences.” 2014. Web. 17 Jun 2019.

Vancouver:

Kyrillidis A. Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences. [Internet] [Thesis]. EPFL; 2014. [cited 2019 Jun 17]. Available from: http://infoscience.epfl.ch/record/202053.

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

Council of Science Editors:

Kyrillidis A. Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences. [Thesis]. EPFL; 2014. Available from: http://infoscience.epfl.ch/record/202053

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


INP Toulouse

25. Colombani, Carine. Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds.

Degree: Docteur es, Pathologie, Toxicologie, Génétique et Nutrition, 2012, INP Toulouse

 L'évolution rapide des techniques de séquençage et de génotypage soulèvent de nouveaux défis dans le développement des méthodes de sélection pour les animaux d’élevage. Par… (more)

Subjects/Keywords: Sélection génomique; Régression PLS; Sparse PLS; Bovins laitiers français; BayesCPi; Genomic selection; PLS regression; Sparse PLS; French dairy cattle; BayesCPi

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APA (6th Edition):

Colombani, C. (2012). Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2012INPT0078

Chicago Manual of Style (16th Edition):

Colombani, Carine. “Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds.” 2012. Doctoral Dissertation, INP Toulouse. Accessed June 17, 2019. http://www.theses.fr/2012INPT0078.

MLA Handbook (7th Edition):

Colombani, Carine. “Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds.” 2012. Web. 17 Jun 2019.

Vancouver:

Colombani C. Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds. [Internet] [Doctoral dissertation]. INP Toulouse; 2012. [cited 2019 Jun 17]. Available from: http://www.theses.fr/2012INPT0078.

Council of Science Editors:

Colombani C. Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde : Prediction models for the genomic evaluation of French dairy cattle : application to the Holstein and Montbéliarde breeds. [Doctoral Dissertation]. INP Toulouse; 2012. Available from: http://www.theses.fr/2012INPT0078


University of Kentucky

26. Su, Hai. Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations.

Degree: 2014, University of Kentucky

 Nuclei/Cell detection is usually a prerequisite procedure in many computer-aided biomedical image analysis tasks. In this thesis we propose two automatic nuclei/cell detection frameworks. One… (more)

Subjects/Keywords: Nuclei/Cell Detection; Sparse Representation; Trivial Templates; Microscopic Images; Biomedical; Computational Engineering; Signal Processing

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

APA (6th Edition):

Su, H. (2014). Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations. (Masters Thesis). University of Kentucky. Retrieved from http://uknowledge.uky.edu/cs_etds/24

Chicago Manual of Style (16th Edition):

Su, Hai. “Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations.” 2014. Masters Thesis, University of Kentucky. Accessed June 17, 2019. http://uknowledge.uky.edu/cs_etds/24.

MLA Handbook (7th Edition):

Su, Hai. “Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations.” 2014. Web. 17 Jun 2019.

Vancouver:

Su H. Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations. [Internet] [Masters thesis]. University of Kentucky; 2014. [cited 2019 Jun 17]. Available from: http://uknowledge.uky.edu/cs_etds/24.

Council of Science Editors:

Su H. Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations. [Masters Thesis]. University of Kentucky; 2014. Available from: http://uknowledge.uky.edu/cs_etds/24

27. Jakovljević Nikša. Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora.

Degree: 2014, University of Novi Sad

U ovoj disertaciji je predstavljen model koji aproksimira pune kova- rijansne matrice u modelu gausovih mešavina (GMM) sa smanjenim brojem parametara i izračunavanja koji… (more)

Subjects/Keywords: prepoznavanje govora, modeli Gausovih mešavina, retkareprezentacija; Speech recognition, Gaussian mixture models, sparse representation

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APA (6th Edition):

Nikša, J. (2014). Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora. (Thesis). University of Novi Sad. Retrieved from http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija139566073394828.pdf?controlNumber=(BISIS)83705&fileName=139566073394828.pdf&id=1625&source=OATD&language=en ; http://www.cris.uns.ac.rs/record.jsf?recordId=83705&source=OATD&language=en ; http://dx.doi.org/10.2298/NS20131218JAKOVLJEVIC ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=free viagra coupon 2016 interview-questions.sumedh.in pfizer viagra coupons

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):

Nikša, Jakovljević. “Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora.” 2014. Thesis, University of Novi Sad. Accessed June 17, 2019. http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija139566073394828.pdf?controlNumber=(BISIS)83705&fileName=139566073394828.pdf&id=1625&source=OATD&language=en ; http://www.cris.uns.ac.rs/record.jsf?recordId=83705&source=OATD&language=en ; http://dx.doi.org/10.2298/NS20131218JAKOVLJEVIC ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=free viagra coupon 2016 interview-questions.sumedh.in pfizer viagra coupons.

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

MLA Handbook (7th Edition):

Nikša, Jakovljević. “Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora.” 2014. Web. 17 Jun 2019.

Vancouver:

Nikša J. Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora. [Internet] [Thesis]. University of Novi Sad; 2014. [cited 2019 Jun 17]. Available from: http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija139566073394828.pdf?controlNumber=(BISIS)83705&fileName=139566073394828.pdf&id=1625&source=OATD&language=en ; http://www.cris.uns.ac.rs/record.jsf?recordId=83705&source=OATD&language=en ; http://dx.doi.org/10.2298/NS20131218JAKOVLJEVIC ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=free viagra coupon 2016 interview-questions.sumedh.in pfizer viagra coupons.

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

Council of Science Editors:

Nikša J. Primena retke reprezentacije na modelima Gausovih mešavina koji se koriste za automatsko prepoznavanje govora. [Thesis]. University of Novi Sad; 2014. Available from: http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija139566073394828.pdf?controlNumber=(BISIS)83705&fileName=139566073394828.pdf&id=1625&source=OATD&language=en ; http://www.cris.uns.ac.rs/record.jsf?recordId=83705&source=OATD&language=en ; http://dx.doi.org/10.2298/NS20131218JAKOVLJEVIC ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=free viagra coupon 2016 interview-questions.sumedh.in pfizer viagra coupons

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


Case Western Reserve University

28. ChangHyun, Lee. PSG Data Compression And Decompression Based On Compressed Sensing.

Degree: MSs (Engineering), EECS - System and Control Engineering, 2011, Case Western Reserve University

 In the thesis, the compression and decompression scheme based on Compressive Sensing (CS) is developed for multichannel polysomnography(PSG) data. This thesis is composed of three… (more)

Subjects/Keywords: Electrical Engineering; Health Care; PSG; Sparse Representation; Compressed Sensing; Data Compression; Convex Optimization

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

APA (6th Edition):

ChangHyun, L. (2011). PSG Data Compression And Decompression Based On Compressed Sensing. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394

Chicago Manual of Style (16th Edition):

ChangHyun, Lee. “PSG Data Compression And Decompression Based On Compressed Sensing.” 2011. Masters Thesis, Case Western Reserve University. Accessed June 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394.

MLA Handbook (7th Edition):

ChangHyun, Lee. “PSG Data Compression And Decompression Based On Compressed Sensing.” 2011. Web. 17 Jun 2019.

Vancouver:

ChangHyun L. PSG Data Compression And Decompression Based On Compressed Sensing. [Internet] [Masters thesis]. Case Western Reserve University; 2011. [cited 2019 Jun 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394.

Council of Science Editors:

ChangHyun L. PSG Data Compression And Decompression Based On Compressed Sensing. [Masters Thesis]. Case Western Reserve University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394

29. Lu, Weizhi. Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet.

Degree: Docteur es, Traitement du signal et de l'image, 2014, Rennes, INSA

Cette thèse étudie et apporte des améliorations significatives sur trois techniques répandues en réduction de dimension : l'acquisition parcimonieuse (ou l'échantillonnage parcimonieux), la projection aléatoire… (more)

Subjects/Keywords: Réduction de dimension; Dimension reduction; Compressed sensing; Random projection; Sparse representation; 621.382

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

APA (6th Edition):

Lu, W. (2014). Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet. (Doctoral Dissertation). Rennes, INSA. Retrieved from http://www.theses.fr/2014ISAR0010

Chicago Manual of Style (16th Edition):

Lu, Weizhi. “Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet.” 2014. Doctoral Dissertation, Rennes, INSA. Accessed June 17, 2019. http://www.theses.fr/2014ISAR0010.

MLA Handbook (7th Edition):

Lu, Weizhi. “Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet.” 2014. Web. 17 Jun 2019.

Vancouver:

Lu W. Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet. [Internet] [Doctoral dissertation]. Rennes, INSA; 2014. [cited 2019 Jun 17]. Available from: http://www.theses.fr/2014ISAR0010.

Council of Science Editors:

Lu W. Contribution to dimension reduction techniques : application to object tracking : Contribution aux techniques de la réduction de dimension : application au suivi d'objet. [Doctoral Dissertation]. Rennes, INSA; 2014. Available from: http://www.theses.fr/2014ISAR0010

30. Babey, Tristan. Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity.

Degree: Docteur es, Sciences de la terre, 2016, Rennes 1

Classiquement le transfert des contaminants dans le milieu souterrain est modélisé par un couplage des processus de transport physiques (écoulements contrôlés par les structures géologiques… (more)

Subjects/Keywords: Hydrogéologie; Représentation parcimonieuse; Polluants de l'eau; Traçage (technique); Hydrogeology; Sparse representation; Water  – Pollution; Water tracing

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

APA (6th Edition):

Babey, T. (2016). Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2016REN1S107

Chicago Manual of Style (16th Edition):

Babey, Tristan. “Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity.” 2016. Doctoral Dissertation, Rennes 1. Accessed June 17, 2019. http://www.theses.fr/2016REN1S107.

MLA Handbook (7th Edition):

Babey, Tristan. “Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity.” 2016. Web. 17 Jun 2019.

Vancouver:

Babey T. Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity. [Internet] [Doctoral dissertation]. Rennes 1; 2016. [cited 2019 Jun 17]. Available from: http://www.theses.fr/2016REN1S107.

Council of Science Editors:

Babey T. Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique : Compartimentalization and contaminant transfer in underground media : interaction between transport processes, chemical reactivity and biological activity. [Doctoral Dissertation]. Rennes 1; 2016. Available from: http://www.theses.fr/2016REN1S107

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