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You searched for subject:(Dictionary learning). Showing records 1 – 30 of 112 total matches.

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1. Pierre-Jean, Morgane. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.

Degree: Docteur es, Sciences de la vie et de la santé, 2016, Paris Saclay

Les données génomiques issues d'expériences de puces à ADN ou de séquençage ont deux caractéristiques principales: leur grande dimension (le nombre de marqueurs dépassant de… (more)

Subjects/Keywords: Dictionary learning; Données génomiques à forte structure

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APA (6th Edition):

Pierre-Jean, M. (2016). Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2016SACLE056

Chicago Manual of Style (16th Edition):

Pierre-Jean, Morgane. “Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.” 2016. Doctoral Dissertation, Paris Saclay. Accessed March 20, 2019. http://www.theses.fr/2016SACLE056.

MLA Handbook (7th Edition):

Pierre-Jean, Morgane. “Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie.” 2016. Web. 20 Mar 2019.

Vancouver:

Pierre-Jean M. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. [Internet] [Doctoral dissertation]. Paris Saclay; 2016. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2016SACLE056.

Council of Science Editors:

Pierre-Jean M. Development of statistical methods for DNA copy number analysis in cancerology : Développement de méthodes statistiques pour l'analyse du nombre de copies d'ADN en cancérologie. [Doctoral Dissertation]. Paris Saclay; 2016. Available from: http://www.theses.fr/2016SACLE056


University of Edinburgh

2. Yaghoobi Vaighan, Mehrdad. Adaptive sparse coding and dictionary selection.

Degree: PhD, 2010, University of Edinburgh

 The sparse coding is approximation/representation of signals with the minimum number of coefficients using an overcomplete set of elementary functions. This kind of approximations/ representations… (more)

Subjects/Keywords: 621.382; sparse approximation; dictionary learning; inverse problems; dictionary design; gradient based optimization

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APA (6th Edition):

Yaghoobi Vaighan, M. (2010). Adaptive sparse coding and dictionary selection. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4070

Chicago Manual of Style (16th Edition):

Yaghoobi Vaighan, Mehrdad. “Adaptive sparse coding and dictionary selection.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed March 20, 2019. http://hdl.handle.net/1842/4070.

MLA Handbook (7th Edition):

Yaghoobi Vaighan, Mehrdad. “Adaptive sparse coding and dictionary selection.” 2010. Web. 20 Mar 2019.

Vancouver:

Yaghoobi Vaighan M. Adaptive sparse coding and dictionary selection. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1842/4070.

Council of Science Editors:

Yaghoobi Vaighan M. Adaptive sparse coding and dictionary selection. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4070


Carnegie Mellon University

3. Juefei-Xu, Felix. Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond.

Degree: 2018, Carnegie Mellon University

 Many real-world face recognition tasks are under unconstrained conditions such as off-angle pose variations, illumination variations, facial occlusion, facial expression, etc. In this work, we… (more)

Subjects/Keywords: Biometrics; Deep Learning; Dictionary Learning; Face Recognition; Periocular Recognition

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APA (6th Edition):

Juefei-Xu, F. (2018). Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1189

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):

Juefei-Xu, Felix. “Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond.” 2018. Thesis, Carnegie Mellon University. Accessed March 20, 2019. http://repository.cmu.edu/dissertations/1189.

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

MLA Handbook (7th Edition):

Juefei-Xu, Felix. “Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond.” 2018. Web. 20 Mar 2019.

Vancouver:

Juefei-Xu F. Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2019 Mar 20]. Available from: http://repository.cmu.edu/dissertations/1189.

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

Council of Science Editors:

Juefei-Xu F. Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1189

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


University of Wollongong

4. 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 March 20, 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. 20 Mar 2019.

Vancouver:

Yang J. A machine learning paradigm based on sparse signal representation. [Internet] [Doctoral dissertation]. University of Wollongong; 2013. [cited 2019 Mar 20]. 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


Rochester Institute of Technology

5. Aziz, Kardo Othman. Better Text Detection through Improved K-means-based Feature Learning.

Degree: MS, Computer Science (GCCIS), 2017, Rochester Institute of Technology

  In this thesis, we propose a different technique to initialize a Convolutional K-means. We propose Visual Similarity Sampling (VSS) to collect 8 × 8 sample patches… (more)

Subjects/Keywords: Convolutional; Dictionary learning; Learning; Sampling; Text detection; Visual similarity

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APA (6th Edition):

Aziz, K. O. (2017). Better Text Detection through Improved K-means-based Feature Learning. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9512

Chicago Manual of Style (16th Edition):

Aziz, Kardo Othman. “Better Text Detection through Improved K-means-based Feature Learning.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed March 20, 2019. https://scholarworks.rit.edu/theses/9512.

MLA Handbook (7th Edition):

Aziz, Kardo Othman. “Better Text Detection through Improved K-means-based Feature Learning.” 2017. Web. 20 Mar 2019.

Vancouver:

Aziz KO. Better Text Detection through Improved K-means-based Feature Learning. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Mar 20]. Available from: https://scholarworks.rit.edu/theses/9512.

Council of Science Editors:

Aziz KO. Better Text Detection through Improved K-means-based Feature Learning. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9512


University of Toronto

6. Stolbunov, Valentin. Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling.

Degree: PhD, 2017, University of Toronto

 In the field of engineering design, numerical simulations are commonly used to forecast system performance before physical prototypes are built and tested. However the fidelity… (more)

Subjects/Keywords: Dictionary learning; Greedy algorithm; Machine learning; Regression; Supervised learning; Surrogate modelling; 0537

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APA (6th Edition):

Stolbunov, V. (2017). Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/80697

Chicago Manual of Style (16th Edition):

Stolbunov, Valentin. “Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling.” 2017. Doctoral Dissertation, University of Toronto. Accessed March 20, 2019. http://hdl.handle.net/1807/80697.

MLA Handbook (7th Edition):

Stolbunov, Valentin. “Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling.” 2017. Web. 20 Mar 2019.

Vancouver:

Stolbunov V. Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling. [Internet] [Doctoral dissertation]. University of Toronto; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1807/80697.

Council of Science Editors:

Stolbunov V. Greedy Dictionary Learning Algorithms for Sparse Surrogate Modelling. [Doctoral Dissertation]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/80697


University of Minnesota

7. Rambhatla, Sirisha. Semi-blind source separation via sparse representations and online dictionary learning.

Degree: 2012, University of Minnesota

University of Minnesota M.S. thesis. Major: Electrical Engineering. Advisor: Prof. Jarvis Haupt. 1 computer file (PDF); vii, 43 pages, appendix A.

This work examines a… (more)

Subjects/Keywords: Online dictionary learning; Semi-blind source separation; Sparse representations

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APA (6th Edition):

Rambhatla, S. (2012). Semi-blind source separation via sparse representations and online dictionary learning. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/143883

Chicago Manual of Style (16th Edition):

Rambhatla, Sirisha. “Semi-blind source separation via sparse representations and online dictionary learning.” 2012. Masters Thesis, University of Minnesota. Accessed March 20, 2019. http://purl.umn.edu/143883.

MLA Handbook (7th Edition):

Rambhatla, Sirisha. “Semi-blind source separation via sparse representations and online dictionary learning.” 2012. Web. 20 Mar 2019.

Vancouver:

Rambhatla S. Semi-blind source separation via sparse representations and online dictionary learning. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2019 Mar 20]. Available from: http://purl.umn.edu/143883.

Council of Science Editors:

Rambhatla S. Semi-blind source separation via sparse representations and online dictionary learning. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/143883


Utah State University

8. Pound, Andrew E. Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery.

Degree: MS, Electrical and Computer Engineering, 2014, Utah State University

  Hyperspectral imaging (HSI) produces spatial images with pixels that, instead of consisting of three colors, consist of hundreds of spectral measurements. Because there are… (more)

Subjects/Keywords: Exploiting Sparsity; Dictionary Learning; Hyperspectral Imagery; Electrical and Computer Engineering

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APA (6th Edition):

Pound, A. E. (2014). Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/4020

Chicago Manual of Style (16th Edition):

Pound, Andrew E. “Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery.” 2014. Masters Thesis, Utah State University. Accessed March 20, 2019. https://digitalcommons.usu.edu/etd/4020.

MLA Handbook (7th Edition):

Pound, Andrew E. “Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery.” 2014. Web. 20 Mar 2019.

Vancouver:

Pound AE. Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery. [Internet] [Masters thesis]. Utah State University; 2014. [cited 2019 Mar 20]. Available from: https://digitalcommons.usu.edu/etd/4020.

Council of Science Editors:

Pound AE. Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery. [Masters Thesis]. Utah State University; 2014. Available from: https://digitalcommons.usu.edu/etd/4020


University of Canterbury

9. Vafadar, Bahareh. Fast methods for Magnetic Resonance Angiography (MRA).

Degree: Electrical and Computer Engineering, 2014, University of Canterbury

 Magnetic resonance imaging (MRI) is a highly exible and non-invasive medical imaging modality based on the concept of nuclear magnetic resonance (NMR). Compared to other… (more)

Subjects/Keywords: Magnetic Resonance Angiography; Compresses Sensing; Image Reconstruction; Dictionary Learning

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APA (6th Edition):

Vafadar, B. (2014). Fast methods for Magnetic Resonance Angiography (MRA). (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/9332

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):

Vafadar, Bahareh. “Fast methods for Magnetic Resonance Angiography (MRA).” 2014. Thesis, University of Canterbury. Accessed March 20, 2019. http://hdl.handle.net/10092/9332.

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

MLA Handbook (7th Edition):

Vafadar, Bahareh. “Fast methods for Magnetic Resonance Angiography (MRA).” 2014. Web. 20 Mar 2019.

Vancouver:

Vafadar B. Fast methods for Magnetic Resonance Angiography (MRA). [Internet] [Thesis]. University of Canterbury; 2014. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10092/9332.

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

Council of Science Editors:

Vafadar B. Fast methods for Magnetic Resonance Angiography (MRA). [Thesis]. University of Canterbury; 2014. Available from: http://hdl.handle.net/10092/9332

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


University of Tennessee – Knoxville

10. 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 March 20, 2019. https://trace.tennessee.edu/utk_graddiss/2710.

MLA Handbook (7th Edition):

Luo, Jiajia. “Feature Extraction and Recognition for Human Action Recognition.” 2014. Web. 20 Mar 2019.

Vancouver:

Luo J. Feature Extraction and Recognition for Human Action Recognition. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2014. [cited 2019 Mar 20]. 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


University of Houston

11. Chu, Dat 1985-. Discriminative Semi-coupled Dictionary Learning for Face Recognition.

Degree: Computer Science, Department of, 2012, University of Houston

 Performing 3D face recognition when only partial 3D data are present in the gallery and probe is a very challenging task. The task is even… (more)

Subjects/Keywords: Face Recognition; Sparse Respresentation; Dictionary Learning; Computer science

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APA (6th Edition):

Chu, D. 1. (2012). Discriminative Semi-coupled Dictionary Learning for Face Recognition. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/827

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):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Thesis, University of Houston. Accessed March 20, 2019. http://hdl.handle.net/10657/827.

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

MLA Handbook (7th Edition):

Chu, Dat 1985-. “Discriminative Semi-coupled Dictionary Learning for Face Recognition.” 2012. Web. 20 Mar 2019.

Vancouver:

Chu D1. Discriminative Semi-coupled Dictionary Learning for Face Recognition. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10657/827.

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

Council of Science Editors:

Chu D1. Discriminative Semi-coupled Dictionary Learning for Face Recognition. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/827

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


Cornell University

12. 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 (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 March 20, 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. 20 Mar 2019.

Vancouver:

Fang R. Towards Robust Deconvolution In Medical Imaging: Informatics, Diagnosis And Treatment . [Internet] [Thesis]. Cornell University; 2014. [cited 2019 Mar 20]. 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

13. Adrielsson, Anders. Zedboard based platform for condition monitoring and control experiments.

Degree: Electrical and Space Engineering, 2018, Luleå University of Technology

  New methods for monitoring the condition of roller element bearings in rotating machinery offer possibilities to reduce repair- and maintenance costs, and reduced use… (more)

Subjects/Keywords: Condition Monitoring; Matching Pursuit; Dictionary Learning; Zedboard; Embedded Systems; Inbäddad systemteknik

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APA (6th Edition):

Adrielsson, A. (2018). Zedboard based platform for condition monitoring and control experiments. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70105

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):

Adrielsson, Anders. “Zedboard based platform for condition monitoring and control experiments.” 2018. Thesis, Luleå University of Technology. Accessed March 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70105.

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

MLA Handbook (7th Edition):

Adrielsson, Anders. “Zedboard based platform for condition monitoring and control experiments.” 2018. Web. 20 Mar 2019.

Vancouver:

Adrielsson A. Zedboard based platform for condition monitoring and control experiments. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2019 Mar 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70105.

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

Council of Science Editors:

Adrielsson A. Zedboard based platform for condition monitoring and control experiments. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70105

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


University of Minnesota

14. Rambhatla, Sirisha. Semi-blind source separation via sparse representations and online dictionary learning.

Degree: MS, Electrical Engineering, 2012, University of Minnesota

 This work examines a semi-blind source separation problem having applications in audio, image, and video processing. The essential aim is to separate one source whose… (more)

Subjects/Keywords: Online dictionary learning; Semi-blind source separation; Sparse representations

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

APA (6th Edition):

Rambhatla, S. (2012). Semi-blind source separation via sparse representations and online dictionary learning. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/143883

Chicago Manual of Style (16th Edition):

Rambhatla, Sirisha. “Semi-blind source separation via sparse representations and online dictionary learning.” 2012. Masters Thesis, University of Minnesota. Accessed March 20, 2019. http://purl.umn.edu/143883.

MLA Handbook (7th Edition):

Rambhatla, Sirisha. “Semi-blind source separation via sparse representations and online dictionary learning.” 2012. Web. 20 Mar 2019.

Vancouver:

Rambhatla S. Semi-blind source separation via sparse representations and online dictionary learning. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2019 Mar 20]. Available from: http://purl.umn.edu/143883.

Council of Science Editors:

Rambhatla S. Semi-blind source separation via sparse representations and online dictionary learning. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/143883

15. Geng, Quan. On the Local Correctness of L1-minimization for Dictionary Learning Algorithm.

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

 The idea that many classes of signals can be represented by linear combination of a small set of atoms of a dictionary has had a… (more)

Subjects/Keywords: Dictionary Learning; Compressed Sensing

…the dictionary learning problem is locally solvable. In Chapter 2, we describe the model in… …the dictionary learning problem can be solved, at least locally, via 1 minimization. The… …is the projection matrix onto Ωj . In dictionary learning problem, what we observe is… …has been proposed by Gribonval and Schnass [5] to solve the dictionary learning… …the dictionary learning problem is indeed solvable, not only locally. In Figure 2.1, we… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Geng, Q. (2012). On the Local Correctness of L1-minimization for Dictionary Learning Algorithm. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29431

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):

Geng, Quan. “On the Local Correctness of L1-minimization for Dictionary Learning Algorithm.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed March 20, 2019. http://hdl.handle.net/2142/29431.

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

MLA Handbook (7th Edition):

Geng, Quan. “On the Local Correctness of L1-minimization for Dictionary Learning Algorithm.” 2012. Web. 20 Mar 2019.

Vancouver:

Geng Q. On the Local Correctness of L1-minimization for Dictionary Learning Algorithm. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2142/29431.

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

Council of Science Editors:

Geng Q. On the Local Correctness of L1-minimization for Dictionary Learning Algorithm. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29431

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


Rochester Institute of Technology

16. Liu, Dengyu. Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2015, Rochester Institute of Technology

  Cameras face a fundamental tradeoff between spatial and temporal resolution. Digital still cameras can capture images with high spatial resolution, but most high-speed video… (more)

Subjects/Keywords: Computational camera; Dictionary learning; Space-time sampling; Sparse reconstruction

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

APA (6th Edition):

Liu, D. (2015). Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8906

Chicago Manual of Style (16th Edition):

Liu, Dengyu. “Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging.” 2015. Masters Thesis, Rochester Institute of Technology. Accessed March 20, 2019. https://scholarworks.rit.edu/theses/8906.

MLA Handbook (7th Edition):

Liu, Dengyu. “Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging.” 2015. Web. 20 Mar 2019.

Vancouver:

Liu D. Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. [Internet] [Masters thesis]. Rochester Institute of Technology; 2015. [cited 2019 Mar 20]. Available from: https://scholarworks.rit.edu/theses/8906.

Council of Science Editors:

Liu D. Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging. [Masters Thesis]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8906


EPFL

17. Schnass, Karin. Sparsity & [and] dictionaries - algorithms & [and] design.

Degree: 2009, EPFL

 With the flood of information available today the question how to deal with high dimensional data/signals, which are cumbersome to handle, to calculate with and… (more)

Subjects/Keywords: sparse representation; redundant dictionary; greedy algorithms; preconditioning; average case analysis; multichannel; compressed sensing; classification; dictionary learning

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

APA (6th Edition):

Schnass, K. (2009). Sparsity & [and] dictionaries - algorithms & [and] design. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/133433

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):

Schnass, Karin. “Sparsity & [and] dictionaries - algorithms & [and] design.” 2009. Thesis, EPFL. Accessed March 20, 2019. http://infoscience.epfl.ch/record/133433.

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

MLA Handbook (7th Edition):

Schnass, Karin. “Sparsity & [and] dictionaries - algorithms & [and] design.” 2009. Web. 20 Mar 2019.

Vancouver:

Schnass K. Sparsity & [and] dictionaries - algorithms & [and] design. [Internet] [Thesis]. EPFL; 2009. [cited 2019 Mar 20]. Available from: http://infoscience.epfl.ch/record/133433.

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

Council of Science Editors:

Schnass K. Sparsity & [and] dictionaries - algorithms & [and] design. [Thesis]. EPFL; 2009. Available from: http://infoscience.epfl.ch/record/133433

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

18. Chadjipapa, Elisavet - Eleni. Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου.

Degree: 2018, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ)

According to Korais ‘The first book of every nation is the dictionary’ and thus he portrays it through the eyes of a lexicographer. This image… (more)

Subjects/Keywords: Χρήση λεξικού; Γλωσσικές στρατηγικές μάθησης; Στρατηγικές χρήσης λεξικού; Στρατηγική χρήση του λεξικού; Dictionary use; Language learning strategies; Dictionary Use Strategies; Strategic dictionary use

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

APA (6th Edition):

Chadjipapa, E. -. E. (2018). Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου. (Thesis). Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/43947

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):

Chadjipapa, Elisavet - Eleni. “Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου.” 2018. Thesis, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Accessed March 20, 2019. http://hdl.handle.net/10442/hedi/43947.

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

MLA Handbook (7th Edition):

Chadjipapa, Elisavet - Eleni. “Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου.” 2018. Web. 20 Mar 2019.

Vancouver:

Chadjipapa E-E. Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου. [Internet] [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10442/hedi/43947.

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

Council of Science Editors:

Chadjipapa E-E. Διερεύνηση στρατηγικών χρήσης λεξικού μαθητών Δημοτικού και Γυμνασίου. [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2018. Available from: http://hdl.handle.net/10442/hedi/43947

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


Georgia Tech

19. Mehta, Nishant A. On sparse representations and new meta-learning paradigms for representation learning.

Degree: PhD, Computer Science, 2013, Georgia Tech

 Given the "right" representation, learning is easy. This thesis studies representation learning and meta-learning, with a special focus on sparse representations. Meta-learning is fundamental to… (more)

Subjects/Keywords: Learning theory; Data-dependent complexity; Luckiness; Dictionary learning; Sparse coding; Lasso; Multi-task learning; Meta-learning; Learning to learn

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APA (6th Edition):

Mehta, N. A. (2013). On sparse representations and new meta-learning paradigms for representation learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52159

Chicago Manual of Style (16th Edition):

Mehta, Nishant A. “On sparse representations and new meta-learning paradigms for representation learning.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 20, 2019. http://hdl.handle.net/1853/52159.

MLA Handbook (7th Edition):

Mehta, Nishant A. “On sparse representations and new meta-learning paradigms for representation learning.” 2013. Web. 20 Mar 2019.

Vancouver:

Mehta NA. On sparse representations and new meta-learning paradigms for representation learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1853/52159.

Council of Science Editors:

Mehta NA. On sparse representations and new meta-learning paradigms for representation learning. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52159


University of Sydney

20. Zhang, Tong. An integrated framework for magnetic resonance image reconstruction and segmentation .

Degree: 2016, University of Sydney

 As a non-invasive tomographic imaging technology, magnetic resonance imaging (MRI) has revolutionized the diagnostic imaging industry. Due to its relatively high resolution and superior soft-tissue… (more)

Subjects/Keywords: magnetic resonance (MR); image reconstruction; image segmentation; dictionary learning; kernel learning; Markov random field

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

APA (6th Edition):

Zhang, T. (2016). An integrated framework for magnetic resonance image reconstruction and segmentation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15457

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):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Thesis, University of Sydney. Accessed March 20, 2019. http://hdl.handle.net/2123/15457.

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

MLA Handbook (7th Edition):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Web. 20 Mar 2019.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2123/15457.

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

Council of Science Editors:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15457

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


University of Sydney

21. Zhang, Tong. An integrated framework for magnetic resonance image reconstruction and segmentation .

Degree: 2016, University of Sydney

 As a non-invasive tomographic imaging technology, magnetic resonance imaging (MRI) has revolutionized the diagnostic imaging industry. Due to its relatively high resolution and superior soft-tissue… (more)

Subjects/Keywords: magnetic resonance (MR); image reconstruction; image segmentation; dictionary learning; kernel learning; markov random field

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

APA (6th Edition):

Zhang, T. (2016). An integrated framework for magnetic resonance image reconstruction and segmentation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15481

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):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Thesis, University of Sydney. Accessed March 20, 2019. http://hdl.handle.net/2123/15481.

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

MLA Handbook (7th Edition):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Web. 20 Mar 2019.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2123/15481.

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

Council of Science Editors:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15481

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


Duke University

22. Li, Lingbo. Nonparametric Bayesian Models for Joint Analysis of Imagery and Text .

Degree: 2014, Duke University

  It has been increasingly important to develop statistical models to manage large-scale high-dimensional image data. This thesis presents novel hierarchical nonparametric Bayesian models for… (more)

Subjects/Keywords: Electrical engineering; Statistics; Computer science; Bayesian Nonparametrics; Dictionary Learning; Image Processing; Machine Learning; Topic Modeling

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APA (6th Edition):

Li, L. (2014). Nonparametric Bayesian Models for Joint Analysis of Imagery and Text . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/8675

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, Lingbo. “Nonparametric Bayesian Models for Joint Analysis of Imagery and Text .” 2014. Thesis, Duke University. Accessed March 20, 2019. http://hdl.handle.net/10161/8675.

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

MLA Handbook (7th Edition):

Li, Lingbo. “Nonparametric Bayesian Models for Joint Analysis of Imagery and Text .” 2014. Web. 20 Mar 2019.

Vancouver:

Li L. Nonparametric Bayesian Models for Joint Analysis of Imagery and Text . [Internet] [Thesis]. Duke University; 2014. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10161/8675.

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

Council of Science Editors:

Li L. Nonparametric Bayesian Models for Joint Analysis of Imagery and Text . [Thesis]. Duke University; 2014. Available from: http://hdl.handle.net/10161/8675

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


University of Michigan

23. Moore, Brian. Robust Algorithms for Low-Rank and Sparse Matrix Models.

Degree: PhD, Electrical Engineering: Systems, 2018, University of Michigan

 Data in statistical signal processing problems is often inherently matrix-valued, and a natural first step in working with such data is to impose a model… (more)

Subjects/Keywords: machine learning; signal processing; optimization; statistics; robust algorithms; dictionary learning; Computer Science; Electrical Engineering; Engineering

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

APA (6th Edition):

Moore, B. (2018). Robust Algorithms for Low-Rank and Sparse Matrix Models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143925

Chicago Manual of Style (16th Edition):

Moore, Brian. “Robust Algorithms for Low-Rank and Sparse Matrix Models.” 2018. Doctoral Dissertation, University of Michigan. Accessed March 20, 2019. http://hdl.handle.net/2027.42/143925.

MLA Handbook (7th Edition):

Moore, Brian. “Robust Algorithms for Low-Rank and Sparse Matrix Models.” 2018. Web. 20 Mar 2019.

Vancouver:

Moore B. Robust Algorithms for Low-Rank and Sparse Matrix Models. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2027.42/143925.

Council of Science Editors:

Moore B. Robust Algorithms for Low-Rank and Sparse Matrix Models. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143925


NSYSU

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

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 March 20, 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. 20 Mar 2019.

Vancouver:

Chiou Y. Image/Video Deblocking via Sparse Representation. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Mar 20]. 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


Universidade do Rio Grande do Sul

25. Flores, Eliezer Soares. Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários.

Degree: 2015, Universidade do Rio Grande do Sul

Segmentação é uma etapa essencial para sistemas de pré-triagem de lesões melanocíticas. Neste trabalho, um novo método para segmentar lesões melanocíticas em imagens de câmera… (more)

Subjects/Keywords: Computação gráfica; Segmentation; Melanocytic lesions; Processamento : Imagem; Informática médica; Macroscopic images; Dictionary learning

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

APA (6th Edition):

Flores, E. S. (2015). Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/115219

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):

Flores, Eliezer Soares. “Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários.” 2015. Thesis, Universidade do Rio Grande do Sul. Accessed March 20, 2019. http://hdl.handle.net/10183/115219.

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

MLA Handbook (7th Edition):

Flores, Eliezer Soares. “Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários.” 2015. Web. 20 Mar 2019.

Vancouver:

Flores ES. Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2015. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10183/115219.

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

Council of Science Editors:

Flores ES. Segmentação de lesões melanocíticas usando uma abordagem baseada no aprendizado de dicionários. [Thesis]. Universidade do Rio Grande do Sul; 2015. Available from: http://hdl.handle.net/10183/115219

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


University of Sydney

26. Wang, Shanshan. Study of analytic and trained dictionaries for sparse representation and its applications .

Degree: 2014, University of Sydney

 Inverse problems are ubiquitous in the field of medical imaging and image processing. Prominent examples include image reconstruction and image denoising. The goal of these… (more)

Subjects/Keywords: Dictionary learning; Image restoration; Magnetic resonance imaging; Inverse problem; Gabor filter; Nonlocal means algorithm

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

APA (6th Edition):

Wang, S. (2014). Study of analytic and trained dictionaries for sparse representation and its applications . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/11486

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):

Wang, Shanshan. “Study of analytic and trained dictionaries for sparse representation and its applications .” 2014. Thesis, University of Sydney. Accessed March 20, 2019. http://hdl.handle.net/2123/11486.

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

MLA Handbook (7th Edition):

Wang, Shanshan. “Study of analytic and trained dictionaries for sparse representation and its applications .” 2014. Web. 20 Mar 2019.

Vancouver:

Wang S. Study of analytic and trained dictionaries for sparse representation and its applications . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2123/11486.

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

Council of Science Editors:

Wang S. Study of analytic and trained dictionaries for sparse representation and its applications . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/11486

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

27. Abraham, Alexandre. Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability.

Degree: Docteur es, Informatique, 2015, Paris Saclay

De récentes études ont montré que l'activité spontanée du cerveau observée au repos permet d'étudier l'organisation fonctionnelle cérébrale en complément de l'information fournie par les… (more)

Subjects/Keywords: IRM fonctionnelle au repos; Apprentissage de dictionnaire; Bio-Marqueurs; Resting state fMRI; Dictionary learning; Biomarkers

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APA (6th Edition):

Abraham, A. (2015). Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2015SACLS159

Chicago Manual of Style (16th Edition):

Abraham, Alexandre. “Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability.” 2015. Doctoral Dissertation, Paris Saclay. Accessed March 20, 2019. http://www.theses.fr/2015SACLS159.

MLA Handbook (7th Edition):

Abraham, Alexandre. “Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability.” 2015. Web. 20 Mar 2019.

Vancouver:

Abraham A. Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability. [Internet] [Doctoral dissertation]. Paris Saclay; 2015. [cited 2019 Mar 20]. Available from: http://www.theses.fr/2015SACLS159.

Council of Science Editors:

Abraham A. Apprentissage d'atlas fonctionnel du cerveau modélisant la variabilité inter-individuelle : Learning functional brain atlases modeling inter-subject variability. [Doctoral Dissertation]. Paris Saclay; 2015. Available from: http://www.theses.fr/2015SACLS159


University of Waterloo

28. Kumar, Abhishek. Panic Detection in Human Crowds using Sparse Coding.

Degree: 2012, University of Waterloo

 Recently, the surveillance of human activities has drawn a lot of attention from the research community and the camera based surveillance is being tried with… (more)

Subjects/Keywords: Panic detection; Anomaly detection; Sparse coding; Human crowd analysis; Dictionary learning; Orthogonal matching pursuit

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APA (6th Edition):

Kumar, A. (2012). Panic Detection in Human Crowds using Sparse Coding. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6909

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):

Kumar, Abhishek. “Panic Detection in Human Crowds using Sparse Coding.” 2012. Thesis, University of Waterloo. Accessed March 20, 2019. http://hdl.handle.net/10012/6909.

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

MLA Handbook (7th Edition):

Kumar, Abhishek. “Panic Detection in Human Crowds using Sparse Coding.” 2012. Web. 20 Mar 2019.

Vancouver:

Kumar A. Panic Detection in Human Crowds using Sparse Coding. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10012/6909.

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

Council of Science Editors:

Kumar A. Panic Detection in Human Crowds using Sparse Coding. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6909

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


Luleå University of Technology

29. Albertsson, Kim. Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA.

Degree: 2013, Luleå University of Technology

A general approach for sparse signal decomposition is matching pursuit with an over-complete dictionary of features. It has been demonstrated that this gives efficient… (more)

Subjects/Keywords: Technology; Teknik; Machine learning; Sparse coding; Over-complete dictionary; Feature extraction; Signal decomposition

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

APA (6th Edition):

Albertsson, K. (2013). Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-53528

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):

Albertsson, Kim. “Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA.” 2013. Thesis, Luleå University of Technology. Accessed March 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-53528.

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

MLA Handbook (7th Edition):

Albertsson, Kim. “Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA.” 2013. Web. 20 Mar 2019.

Vancouver:

Albertsson K. Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA. [Internet] [Thesis]. Luleå University of Technology; 2013. [cited 2019 Mar 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-53528.

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

Council of Science Editors:

Albertsson K. Towards self-learning sensors : Matching pursuit with dictionary learning on FPGA. [Thesis]. Luleå University of Technology; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-53528

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


University of Iowa

30. Bhave, Sampada Vasant. Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications.

Degree: PhD, Electrical and Computer Engineering, 2016, University of Iowa

  The clinical utility of multi-dimensional MRI applications like multi-parameter mapping and 3D dynamic lung imaging is limited by long acquisition times. Quantification of multiple… (more)

Subjects/Keywords: 3D imaging; BCS; Dictionary learning; Lung imaging; MRI; Parameter mapping; Electrical and Computer Engineering

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

APA (6th Edition):

Bhave, S. V. (2016). Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/2182

Chicago Manual of Style (16th Edition):

Bhave, Sampada Vasant. “Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications.” 2016. Doctoral Dissertation, University of Iowa. Accessed March 20, 2019. https://ir.uiowa.edu/etd/2182.

MLA Handbook (7th Edition):

Bhave, Sampada Vasant. “Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications.” 2016. Web. 20 Mar 2019.

Vancouver:

Bhave SV. Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications. [Internet] [Doctoral dissertation]. University of Iowa; 2016. [cited 2019 Mar 20]. Available from: https://ir.uiowa.edu/etd/2182.

Council of Science Editors:

Bhave SV. Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications. [Doctoral Dissertation]. University of Iowa; 2016. Available from: https://ir.uiowa.edu/etd/2182

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