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You searched for subject:(Bregman). Showing records 1 – 30 of 35 total matches.

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University of Alberta

1. Cheng, Hao. Bregman Divergence Clustering: A Convex Approach.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 Due to its wide application in various fields, clustering, as a fundamental unsupervised learning problem, has been intensively investigated over the past few decades. Unfortunately,… (more)

Subjects/Keywords: convex; clustering; Bregman divergence

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APA (6th Edition):

Cheng, H. (2013). Bregman Divergence Clustering: A Convex Approach. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6d56zz264

Chicago Manual of Style (16th Edition):

Cheng, Hao. “Bregman Divergence Clustering: A Convex Approach.” 2013. Masters Thesis, University of Alberta. Accessed June 26, 2019. https://era.library.ualberta.ca/files/6d56zz264.

MLA Handbook (7th Edition):

Cheng, Hao. “Bregman Divergence Clustering: A Convex Approach.” 2013. Web. 26 Jun 2019.

Vancouver:

Cheng H. Bregman Divergence Clustering: A Convex Approach. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Jun 26]. Available from: https://era.library.ualberta.ca/files/6d56zz264.

Council of Science Editors:

Cheng H. Bregman Divergence Clustering: A Convex Approach. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/6d56zz264


University of Colorado

2. Kannan, Karthik. The Big Picture: Loss Functions at the Dataset Level.

Degree: MS, Computer Science, 2017, University of Colorado

  Loss functions play a key role in machine learning optimization problems. Even with their widespread use throughout the field, selecting a loss function tailored… (more)

Subjects/Keywords: Bregman Divergences; Loss Functions; Machine Learning; Property Elicitation; Computer Sciences

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APA (6th Edition):

Kannan, K. (2017). The Big Picture: Loss Functions at the Dataset Level. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/146

Chicago Manual of Style (16th Edition):

Kannan, Karthik. “The Big Picture: Loss Functions at the Dataset Level.” 2017. Masters Thesis, University of Colorado. Accessed June 26, 2019. https://scholar.colorado.edu/csci_gradetds/146.

MLA Handbook (7th Edition):

Kannan, Karthik. “The Big Picture: Loss Functions at the Dataset Level.” 2017. Web. 26 Jun 2019.

Vancouver:

Kannan K. The Big Picture: Loss Functions at the Dataset Level. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Jun 26]. Available from: https://scholar.colorado.edu/csci_gradetds/146.

Council of Science Editors:

Kannan K. The Big Picture: Loss Functions at the Dataset Level. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/146


Penn State University

3. Jiang, Chunzhi. Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems.

Degree: MS, Industrial Engineering, 2015, Penn State University

 Recently, data mining algorithms running on large-scale problems face a trade-off between computing time and accuracy. It is hard to find an algorithm which reduces… (more)

Subjects/Keywords: ADMM; Split Bregman Method; Hyperspectral Imaging; L1 Regularization

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APA (6th Edition):

Jiang, C. (2015). Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/24793

Chicago Manual of Style (16th Edition):

Jiang, Chunzhi. “Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems.” 2015. Masters Thesis, Penn State University. Accessed June 26, 2019. https://etda.libraries.psu.edu/catalog/24793.

MLA Handbook (7th Edition):

Jiang, Chunzhi. “Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems.” 2015. Web. 26 Jun 2019.

Vancouver:

Jiang C. Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Jun 26]. Available from: https://etda.libraries.psu.edu/catalog/24793.

Council of Science Editors:

Jiang C. Comparison of variable penalry ADMM with Split Bregman Method on hyperspectral imaging problems. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/24793


University of Manchester

4. Prieto Moreno, Kernel Enrique. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.

Degree: PhD, 2015, University of Manchester

 Since the inverse problem in Diffusive Optical Tomography (DOT) is nonlinear and severely ill-posed, only low resolution reconstructions are feasible when noise is added to… (more)

Subjects/Keywords: 616.07; Diffuse optical tomography, radiative transfer equation, Landweber-Kaczmarz, regularization methods, sparsity, total variation, shape derivative, level set method; Split Bregman, Linearised Bregman, Lagged diffusivity methods

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APA (6th Edition):

Prieto Moreno, K. E. (2015). Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/novel-mathematical-techniques-for-structural-inversion-and-image-reconstruction-in-medical-imaging-governed-by-a-transport-equation(b45f5566-daa7-4d47-a982-cf479e360c6f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666850

Chicago Manual of Style (16th Edition):

Prieto Moreno, Kernel Enrique. “Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.” 2015. Doctoral Dissertation, University of Manchester. Accessed June 26, 2019. https://www.research.manchester.ac.uk/portal/en/theses/novel-mathematical-techniques-for-structural-inversion-and-image-reconstruction-in-medical-imaging-governed-by-a-transport-equation(b45f5566-daa7-4d47-a982-cf479e360c6f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666850.

MLA Handbook (7th Edition):

Prieto Moreno, Kernel Enrique. “Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.” 2015. Web. 26 Jun 2019.

Vancouver:

Prieto Moreno KE. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Jun 26]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/novel-mathematical-techniques-for-structural-inversion-and-image-reconstruction-in-medical-imaging-governed-by-a-transport-equation(b45f5566-daa7-4d47-a982-cf479e360c6f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666850.

Council of Science Editors:

Prieto Moreno KE. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/novel-mathematical-techniques-for-structural-inversion-and-image-reconstruction-in-medical-imaging-governed-by-a-transport-equation(b45f5566-daa7-4d47-a982-cf479e360c6f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666850

5. Nguyen, Van Quang. Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization.

Degree: Docteur es, Mathématiques Appliquées, 2015, Université Pierre et Marie Curie – Paris VI

Le but de cette thèse est d'élaborer des méthodes d'éclatement basées sur les distances de Bregman pour la résolution d'inclusions monotones composites dans les espaces… (more)

Subjects/Keywords: Distance de Bregman; Dualité; Espace de Banach; Haugazeau; Inclusion monotone; Meilleure approximation; Algorithme d'éclatement; Algorithme à métrique variable; Bregman distances; Monotone inclusion; 510

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APA (6th Edition):

Nguyen, V. Q. (2015). Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization. (Doctoral Dissertation). Université Pierre et Marie Curie – Paris VI. Retrieved from http://www.theses.fr/2015PA066183

Chicago Manual of Style (16th Edition):

Nguyen, Van Quang. “Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization.” 2015. Doctoral Dissertation, Université Pierre et Marie Curie – Paris VI. Accessed June 26, 2019. http://www.theses.fr/2015PA066183.

MLA Handbook (7th Edition):

Nguyen, Van Quang. “Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization.” 2015. Web. 26 Jun 2019.

Vancouver:

Nguyen VQ. Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization. [Internet] [Doctoral dissertation]. Université Pierre et Marie Curie – Paris VI; 2015. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2015PA066183.

Council of Science Editors:

Nguyen VQ. Méthodes d'éclatement basées sur les distances de Bregman pour les inclusions monotones composites et l'optimisation : Splitting methods based on Bregman distances for composite monotone inclusions and optimization. [Doctoral Dissertation]. Université Pierre et Marie Curie – Paris VI; 2015. Available from: http://www.theses.fr/2015PA066183

6. Rousseau, Sylvain. Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing.

Degree: Docteur es, Traitemement du signal et des images, 2013, Poitiers

Les capteurs multi- et hyper-spectraux génèrent un énorme flot de données. Un moyende contourner cette difficulté est de pratiquer une acquisition compressée de l'objet multi-… (more)

Subjects/Keywords: Acquisition compressée; Image multispectrale; Algorithmes de Bregman; Détection de signatures; Détection de motifs; Multispectral image; Compressed sensing; Bregman algorithms; Signaturedetection; Pattern detection; 621.382 2

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APA (6th Edition):

Rousseau, S. (2013). Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing. (Doctoral Dissertation). Poitiers. Retrieved from http://www.theses.fr/2013POIT2269

Chicago Manual of Style (16th Edition):

Rousseau, Sylvain. “Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing.” 2013. Doctoral Dissertation, Poitiers. Accessed June 26, 2019. http://www.theses.fr/2013POIT2269.

MLA Handbook (7th Edition):

Rousseau, Sylvain. “Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing.” 2013. Web. 26 Jun 2019.

Vancouver:

Rousseau S. Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing. [Internet] [Doctoral dissertation]. Poitiers; 2013. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2013POIT2269.

Council of Science Editors:

Rousseau S. Détection de points d'intérêts dans une image multi ou hyperspectral par acquisition compressée : Feature detection in a multispectral image by compressed sensing. [Doctoral Dissertation]. Poitiers; 2013. Available from: http://www.theses.fr/2013POIT2269

7. Khatavkar, Rohan. Sparse and orthogonal singular value decomposition.

Degree: MS, Department of Statistics, 2013, Kansas State University

 The singular value decomposition (SVD) is a commonly used matrix factorization technique in statistics, and it is very e ective in revealing many low-dimensional structures… (more)

Subjects/Keywords: Bregman iteration; Multivariate regression; Orthogonality constraint; Singular value decomposition; Sparsity; Statistics (0463)

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APA (6th Edition):

Khatavkar, R. (2013). Sparse and orthogonal singular value decomposition. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/15992

Chicago Manual of Style (16th Edition):

Khatavkar, Rohan. “Sparse and orthogonal singular value decomposition.” 2013. Masters Thesis, Kansas State University. Accessed June 26, 2019. http://hdl.handle.net/2097/15992.

MLA Handbook (7th Edition):

Khatavkar, Rohan. “Sparse and orthogonal singular value decomposition.” 2013. Web. 26 Jun 2019.

Vancouver:

Khatavkar R. Sparse and orthogonal singular value decomposition. [Internet] [Masters thesis]. Kansas State University; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2097/15992.

Council of Science Editors:

Khatavkar R. Sparse and orthogonal singular value decomposition. [Masters Thesis]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15992


Princeton University

8. Basbug, Mehmet Emin. Integrating Exponential Dispersion Models to Latent Structures .

Degree: PhD, 2017, Princeton University

 Latent variable models have two basic components: a latent structure encoding a hypothesized complex pattern and an observation model capturing the data distribution. With the… (more)

Subjects/Keywords: Bregman Divergence; Clustering; Exponential Dispersion Model; Machine Learning; Matrix Factorization; Missing Data

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APA (6th Edition):

Basbug, M. E. (2017). Integrating Exponential Dispersion Models to Latent Structures . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019z903235x

Chicago Manual of Style (16th Edition):

Basbug, Mehmet Emin. “Integrating Exponential Dispersion Models to Latent Structures .” 2017. Doctoral Dissertation, Princeton University. Accessed June 26, 2019. http://arks.princeton.edu/ark:/88435/dsp019z903235x.

MLA Handbook (7th Edition):

Basbug, Mehmet Emin. “Integrating Exponential Dispersion Models to Latent Structures .” 2017. Web. 26 Jun 2019.

Vancouver:

Basbug ME. Integrating Exponential Dispersion Models to Latent Structures . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2019 Jun 26]. Available from: http://arks.princeton.edu/ark:/88435/dsp019z903235x.

Council of Science Editors:

Basbug ME. Integrating Exponential Dispersion Models to Latent Structures . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp019z903235x


University of Minnesota

9. Cherian, Anoop. Similarity search in visual data.

Degree: PhD, Computer science, 2013, University of Minnesota

 Contemporary times have witnessed a significant increase in the amount of data available on the Internet. Organizing such big data so that it is easily… (more)

Subjects/Keywords: Covariance matrices; Dictionary learning; Dirichlet process; Jensen-bregman logdet divergence; Nearest neighbors; Sparse coding

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APA (6th Edition):

Cherian, A. (2013). Similarity search in visual data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/144455

Chicago Manual of Style (16th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Doctoral Dissertation, University of Minnesota. Accessed June 26, 2019. http://purl.umn.edu/144455.

MLA Handbook (7th Edition):

Cherian, Anoop. “Similarity search in visual data.” 2013. Web. 26 Jun 2019.

Vancouver:

Cherian A. Similarity search in visual data. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2019 Jun 26]. Available from: http://purl.umn.edu/144455.

Council of Science Editors:

Cherian A. Similarity search in visual data. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/144455


University of Newcastle

10. Lindstrom, Scott Boivin. Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics.

Degree: PhD, 2019, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Discrete dynamical systems are ubiquitous in many mathematical disciplines. Celebrated methods as old as the Hellenic period include… (more)

Subjects/Keywords: proximal point algorithms; Douglas – Rachford; Bregman envelopes; proximity operators; experimental mathematics; variational analysis; nonlinear optimization; visualization methods; dynamical systems; feasibility problems

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APA (6th Edition):

Lindstrom, S. B. (2019). Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1398068

Chicago Manual of Style (16th Edition):

Lindstrom, Scott Boivin. “Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics.” 2019. Doctoral Dissertation, University of Newcastle. Accessed June 26, 2019. http://hdl.handle.net/1959.13/1398068.

MLA Handbook (7th Edition):

Lindstrom, Scott Boivin. “Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics.” 2019. Web. 26 Jun 2019.

Vancouver:

Lindstrom SB. Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics. [Internet] [Doctoral dissertation]. University of Newcastle; 2019. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1959.13/1398068.

Council of Science Editors:

Lindstrom SB. Proximal point algorithms, dynamical systems, and associated operators: modern perspectives from experimental mathematics. [Doctoral Dissertation]. University of Newcastle; 2019. Available from: http://hdl.handle.net/1959.13/1398068

11. Santos Rodríguez, Raúl. Cost-sensitive classification based on Bregman divergences.

Degree: 2018, Universidad Carlos III de Madrid

Subjects/Keywords: Cost-sensitive classification; Bregman divergences; Machine learning; Informática

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APA (6th Edition):

Santos Rodríguez, R. (2018). Cost-sensitive classification based on Bregman divergences. (Thesis). Universidad Carlos III de Madrid. Retrieved from http://hdl.handle.net/10016/12508

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):

Santos Rodríguez, Raúl. “Cost-sensitive classification based on Bregman divergences.” 2018. Thesis, Universidad Carlos III de Madrid. Accessed June 26, 2019. http://hdl.handle.net/10016/12508.

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

MLA Handbook (7th Edition):

Santos Rodríguez, Raúl. “Cost-sensitive classification based on Bregman divergences.” 2018. Web. 26 Jun 2019.

Vancouver:

Santos Rodríguez R. Cost-sensitive classification based on Bregman divergences. [Internet] [Thesis]. Universidad Carlos III de Madrid; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10016/12508.

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

Council of Science Editors:

Santos Rodríguez R. Cost-sensitive classification based on Bregman divergences. [Thesis]. Universidad Carlos III de Madrid; 2018. Available from: http://hdl.handle.net/10016/12508

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

12. Acharyya, Sreangsu. Learning to rank in supervised and unsupervised settings using convexity and monotonicity.

Degree: Electrical and Computer Engineering, 2013, University of Texas – Austin

 This dissertation addresses the task of learning to rank, both in the supervised and unsupervised settings, by exploiting the interplay of convex functions, monotonic mappings… (more)

Subjects/Keywords: Learning to rank; Convexity; Monotonicity; Bregman divergence

Bregman divergence between the consensus rank and the ranks induced by item specific… …7 2.2 Bregman Divergence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9… …2.2.1 Bregman Projection . . . . . . . . . . . . . . . . . . . . . . . . . 2.2.2 14… …Exponential Families, Generalized Linear Models and Bregman Divergences… …Bregman Projection on R↓t . . . . . . . . . . . . . . . . . . . . . 48 3.4.6 Convergence… 

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APA (6th Edition):

Acharyya, S. (2013). Learning to rank in supervised and unsupervised settings using convexity and monotonicity. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21154

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):

Acharyya, Sreangsu. “Learning to rank in supervised and unsupervised settings using convexity and monotonicity.” 2013. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/21154.

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

MLA Handbook (7th Edition):

Acharyya, Sreangsu. “Learning to rank in supervised and unsupervised settings using convexity and monotonicity.” 2013. Web. 26 Jun 2019.

Vancouver:

Acharyya S. Learning to rank in supervised and unsupervised settings using convexity and monotonicity. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/21154.

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

Council of Science Editors:

Acharyya S. Learning to rank in supervised and unsupervised settings using convexity and monotonicity. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21154

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


University of Cambridge

13. Papoutsellis, Evangelos. First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images.

Degree: PhD, 2016, University of Cambridge

 The focus of this thesis is variational image restoration techniques that involve novel non-smooth first-order gradient regularisers: Total Variation (TV) regularisation in image and data… (more)

Subjects/Keywords: 006.6; total variation regularisation; Radon transform; sinogram space regularisation; Bregman distance; split Bregman algorithm; thin structures; first-order regularisers; infimal convolution; image decomposition; TVLp regularisers; total generalised variation; staircasing effect; positron emission tomography reconstruction; Applied mathematics

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APA (6th Edition):

Papoutsellis, E. (2016). First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/256216 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693419

Chicago Manual of Style (16th Edition):

Papoutsellis, Evangelos. “First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images.” 2016. Doctoral Dissertation, University of Cambridge. Accessed June 26, 2019. https://www.repository.cam.ac.uk/handle/1810/256216 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693419.

MLA Handbook (7th Edition):

Papoutsellis, Evangelos. “First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images.” 2016. Web. 26 Jun 2019.

Vancouver:

Papoutsellis E. First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images. [Internet] [Doctoral dissertation]. University of Cambridge; 2016. [cited 2019 Jun 26]. Available from: https://www.repository.cam.ac.uk/handle/1810/256216 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693419.

Council of Science Editors:

Papoutsellis E. First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images. [Doctoral Dissertation]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/256216 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693419


Pontifical Catholic University of Rio de Janeiro

14. DANIEL ALEJANDRO MESEJO-LEON. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] Em uma série de aplicações, os pontos de dados podem ser representados como distribuições de probabilidade. Por exemplo, os documentos podem ser representados como… (more)

Subjects/Keywords: [pt] DIVERGENCIA KULLBACK-LEIBER; [en] KULLBACK-LEIBLER DIVERGENCE; [pt] BUSCA DE VIZINHOS MAIS PROXIMOS; [en] NEAREST NEIGHBOR SEARCH; [pt] INDICES INVERTIDOS; [en] INVERTED INDEX; [pt] HASH SENSIVEL A LOCALIDADE; [en] LOCALITY SENSITIVE HASHING; [pt] ARVORES DE BREGMAN; [en] BREGMAN BALL TREE

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APA (6th Edition):

MESEJO-LEON, D. A. (2018). [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305

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):

MESEJO-LEON, DANIEL ALEJANDRO. “[en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed June 26, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305.

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

MLA Handbook (7th Edition):

MESEJO-LEON, DANIEL ALEJANDRO. “[en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE.” 2018. Web. 26 Jun 2019.

Vancouver:

MESEJO-LEON DA. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2019 Jun 26]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305.

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

Council of Science Editors:

MESEJO-LEON DA. [en] APPROXIMATE NEAREST NEIGHBOR SEARCH FOR THE KULLBACK-LEIBLER DIVERGENCE. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33305

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


University of Cambridge

15. Papoutsellis, Evangelos. First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images .

Degree: 2016, University of Cambridge

 The focus of this thesis is variational image restoration techniques that involve novel non-smooth first-order gradient regularisers: Total Variation (TV) regularisation in image and data… (more)

Subjects/Keywords: total variation regularisation; Radon transform; sinogram space regularisation; Bregman distance; split Bregman algorithm; thin structures; first-order regularisers; infimal convolution; image decomposition; TVLp regularisers; total generalised variation; staircasing effect; positron emission tomography reconstruction; Research Subject Categories::MATHEMATICS::Applied mathematics

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APA (6th Edition):

Papoutsellis, E. (2016). First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/256216

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):

Papoutsellis, Evangelos. “First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images .” 2016. Thesis, University of Cambridge. Accessed June 26, 2019. https://www.repository.cam.ac.uk/handle/1810/256216.

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

MLA Handbook (7th Edition):

Papoutsellis, Evangelos. “First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images .” 2016. Web. 26 Jun 2019.

Vancouver:

Papoutsellis E. First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images . [Internet] [Thesis]. University of Cambridge; 2016. [cited 2019 Jun 26]. Available from: https://www.repository.cam.ac.uk/handle/1810/256216.

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

Council of Science Editors:

Papoutsellis E. First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images . [Thesis]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/256216

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


University of Florida

16. Liu, Meizhu. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Divergence measures provide a means to measure the pairwise dissimilarity between "objects", e.g., vectors and probability density functions (pdfs). Kullback-Leibler (KL) divergence and the square… (more)

Subjects/Keywords: Algorithms; Computer conferencing; Computer pattern recognition; Computer vision; Databases; Datasets; Information retrieval; Machine learning; Outliers; Tensors; boosting  – bregman  – divergence  – dti  – metric  – robust

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APA (6th Edition):

Liu, M. (2011). Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043601

Chicago Manual of Style (16th Edition):

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Doctoral Dissertation, University of Florida. Accessed June 26, 2019. http://ufdc.ufl.edu/UFE0043601.

MLA Handbook (7th Edition):

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Web. 26 Jun 2019.

Vancouver:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Jun 26]. Available from: http://ufdc.ufl.edu/UFE0043601.

Council of Science Editors:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043601

17. ZHOU JUNQI. Simultaneous Data Recovery in Image and Transform Domains.

Degree: 2013, National University of Singapore

Subjects/Keywords: Image restoration; uncertainty principle; analysis-based approach; split Bregman method

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APA (6th Edition):

JUNQI, Z. (2013). Simultaneous Data Recovery in Image and Transform Domains. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/37548

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):

JUNQI, ZHOU. “Simultaneous Data Recovery in Image and Transform Domains.” 2013. Thesis, National University of Singapore. Accessed June 26, 2019. http://scholarbank.nus.edu.sg/handle/10635/37548.

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

MLA Handbook (7th Edition):

JUNQI, ZHOU. “Simultaneous Data Recovery in Image and Transform Domains.” 2013. Web. 26 Jun 2019.

Vancouver:

JUNQI Z. Simultaneous Data Recovery in Image and Transform Domains. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2019 Jun 26]. Available from: http://scholarbank.nus.edu.sg/handle/10635/37548.

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

Council of Science Editors:

JUNQI Z. Simultaneous Data Recovery in Image and Transform Domains. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/37548

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

18. Hasnat, Md Abul. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.

Degree: Docteur es, Image, Vision, Signal, 2014, Saint-Etienne

L'accès aux séquences d'images 3D s'est aujourd'hui démocratisé, grâce aux récentes avancées dans le développement des capteurs de profondeur ainsi que des méthodes permettant de… (more)

Subjects/Keywords: Analyse d'images de profondeur; Segmentation d'images RGB-D; Classification non supervisée; Divergence de Bregman; Sélection de modèles; Distributions directionnelles; Loi de Von Mises-Fisher; Loi de Watson; Analysis depth images; RGB-D image segmentation; Unsupervised classification; Bregman divergence; Models selection; Directional distributions; Von Mises-Fisher distribution; Watson distribution

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APA (6th Edition):

Hasnat, M. A. (2014). Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. (Doctoral Dissertation). Saint-Etienne. Retrieved from http://www.theses.fr/2014STET4013

Chicago Manual of Style (16th Edition):

Hasnat, Md Abul. “Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.” 2014. Doctoral Dissertation, Saint-Etienne. Accessed June 26, 2019. http://www.theses.fr/2014STET4013.

MLA Handbook (7th Edition):

Hasnat, Md Abul. “Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur.” 2014. Web. 26 Jun 2019.

Vancouver:

Hasnat MA. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. [Internet] [Doctoral dissertation]. Saint-Etienne; 2014. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2014STET4013.

Council of Science Editors:

Hasnat MA. Unsupervised 3D image clustering and extension to joint color and depth segmentation : Classification non supervisée d’images 3D et extension à la segmentation exploitant les informations de couleur et de profondeur. [Doctoral Dissertation]. Saint-Etienne; 2014. Available from: http://www.theses.fr/2014STET4013

19. Nenna, Luca. Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges.

Degree: Docteur es, Sciences, 2016, Paris Sciences et Lettres

Dans cette thèse, notre but est de donner un cadre numérique général pour approcher les solutions des problèmes du transport optimal (TO). L’idée générale est… (more)

Subjects/Keywords: Transport optimal; Transport Optimal Multi-Marges; Régularisation entropique; Algorithme de Bregman; Algorithme de Dykstra; Équations d’Euler; Tfd; Problème de Schrödinger; Map fractale; Cournot-Nash; Transport Partiel; Contrainte de capacité; Barycentre de Wasserstein; Optimal transport; Multi-Marginal Optimal transport; Entropic regularization; Dykstra algorithm; Bregman algorithm; Euler equations; Dft; Schrödinger problem; Fractal map; Cournot-Nash; Partial transport; Capacity constraint; Wasserstein barycenter; 519.2

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APA (6th Edition):

Nenna, L. (2016). Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLED017

Chicago Manual of Style (16th Edition):

Nenna, Luca. “Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed June 26, 2019. http://www.theses.fr/2016PSLED017.

MLA Handbook (7th Edition):

Nenna, Luca. “Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges.” 2016. Web. 26 Jun 2019.

Vancouver:

Nenna L. Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2016PSLED017.

Council of Science Editors:

Nenna L. Numerical Methods for Multi-Marginal Optimal Transportation : Méthodes numériques pour le transport optimal multi-marges. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLED017

20. 冨澤 佑季乃. Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理.

Degree: Chuo university / 中央大学

【学位授与機関】中央大学【学位の種類】博士(理学)【学位記番号】工博甲第230号【学位授与の日付】2014年3月24日【学位授与の要件】中央大学学位規則第4条第1項【論文審査委員主査】小林 良和(中央大学理工学部教授)【論文審査委員副査】松山 登喜夫(中央大学理工学部教授)、山本 慎(中央大学理工学部教授)、竹村 剛一(中央大学理工学部准教授)、田口 東(中央大学理工学部教授)、高橋 渉(慶應義塾大学教授)

Subjects/Keywords: Generalized equilibrium problem; Relatively nonexpansive mapping; W-mapping; Convex combination; Bregman distance; Bregman projection; Asymptotically quasi-nonexpansive in the intermediate sense; Legendre function, Totally convex function; Nonlinear evolution operator; Initial value problem; Continuous infinitesimal generator

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APA (6th Edition):

佑季乃, . (n.d.). Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理. (Thesis). Chuo university / 中央大学. Retrieved from http://ir.c.chuo-u.ac.jp/repository/search/item/md/rsc/p/5646/

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

佑季乃, 冨澤. “Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理.” Thesis, Chuo university / 中央大学. Accessed June 26, 2019. http://ir.c.chuo-u.ac.jp/repository/search/item/md/rsc/p/5646/.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

佑季乃, 冨澤. “Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理.” Web. 26 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

佑季乃 . Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理. [Internet] [Thesis]. Chuo university / 中央大学; [cited 2019 Jun 26]. Available from: http://ir.c.chuo-u.ac.jp/repository/search/item/md/rsc/p/5646/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

佑季乃 . Strong Convergence Theorems for Fixed Points of Nonlinear Mappings of Nonexpansive Type : 非拡大型な非線形写像の不動点への強収束定理. [Thesis]. Chuo university / 中央大学; Available from: http://ir.c.chuo-u.ac.jp/repository/search/item/md/rsc/p/5646/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

21. Prieto Moreno, Kernel Enrique. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.

Degree: 2015, University of Manchester

 Since the inverse problem in Diffusive Optical Tomography (DOT) is nonlinear and severely ill-posed, only low resolution reconstructions are feasible when noise is added to… (more)

Subjects/Keywords: Diffuse optical tomography, radiative transfer equation, Landweber-Kaczmarz, regularization methods, sparsity, total variation, shape derivative, level set method; Split Bregman, Linearised Bregman, Lagged diffusivity methods

Bregman iteration for total variation regularization . . . . . . . . . . 180 13 Split Bregman… …imaging, we have used the split Bregman method and the lagged diffusivity method. For the total… …Limited-memory Broyden-Fletcher-Goldfarb-Shanno SB Split Bregman BB Barzilai-Borwein NIR… …sparsity regularization, compressed sensing and Bregman distances are reviewed. In addition, a… …linearised Bregman iteration is presented for the `1 -minimisation for a linear problem. Moreover… 

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APA (6th Edition):

Prieto Moreno, K. E. (2015). Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:269810

Chicago Manual of Style (16th Edition):

Prieto Moreno, Kernel Enrique. “Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.” 2015. Doctoral Dissertation, University of Manchester. Accessed June 26, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:269810.

MLA Handbook (7th Edition):

Prieto Moreno, Kernel Enrique. “Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation.” 2015. Web. 26 Jun 2019.

Vancouver:

Prieto Moreno KE. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Jun 26]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:269810.

Council of Science Editors:

Prieto Moreno KE. Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:269810

22. Adamcik, Martin. Collective reasoning under uncertainty and inconsistency.

Degree: PhD, 2014, University of Manchester

 In this thesis we investigate some global desiderata for probabilistic knowledge merging given several possibly jointly inconsistent, but individually consistent knowledge bases. We show that… (more)

Subjects/Keywords: 519.2; probabilistic reasoning; probability function; probabilistic merging; Bregman divergence; Kullback-Leibler divergence; principles for merging

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APA (6th Edition):

Adamcik, M. (2014). Collective reasoning under uncertainty and inconsistency. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220

Chicago Manual of Style (16th Edition):

Adamcik, Martin. “Collective reasoning under uncertainty and inconsistency.” 2014. Doctoral Dissertation, University of Manchester. Accessed June 26, 2019. https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220.

MLA Handbook (7th Edition):

Adamcik, Martin. “Collective reasoning under uncertainty and inconsistency.” 2014. Web. 26 Jun 2019.

Vancouver:

Adamcik M. Collective reasoning under uncertainty and inconsistency. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Jun 26]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220.

Council of Science Editors:

Adamcik M. Collective reasoning under uncertainty and inconsistency. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603220


University of Victoria

23. Yan, Jie. Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing.

Degree: Department of Electrical and Computer Engineering, 2014, University of Victoria

 Exploiting signal sparsity has recently received considerable attention in a variety of areas including signal and image processing, compressive sensing, machine learning and so on.… (more)

Subjects/Keywords: Iteratively Reweighted ℓ1-minimization (IRL1); Iteratively Reweighted Total Variation (IRTV); Linearized Bregman (LB); Magnetic Resonance Imaging (MRI); Weighted Total Variation (WTV); Fast Iterative Shrinkage-Thresholding Algorithm (FISTA); Total Variation (TV); Fast Gradient Projection (FGP); Compressive Imaging (CI); Compressive Sensing (CS); Basis Pursuit (BP)

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APA (6th Edition):

Yan, J. (2014). Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/5728

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):

Yan, Jie. “Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing.” 2014. Thesis, University of Victoria. Accessed June 26, 2019. http://hdl.handle.net/1828/5728.

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

MLA Handbook (7th Edition):

Yan, Jie. “Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing.” 2014. Web. 26 Jun 2019.

Vancouver:

Yan J. Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing. [Internet] [Thesis]. University of Victoria; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1828/5728.

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

Council of Science Editors:

Yan J. Methods for ℓp/TVp Regularized Optimization and Their Applications in Sparse Signal Processing. [Thesis]. University of Victoria; 2014. Available from: http://hdl.handle.net/1828/5728

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

24. Adamcik, Martin. Collective Reasoning under Uncertainty and Inconsistency.

Degree: 2014, University of Manchester

 In this thesis we investigate some global desiderata for probabilistic knowledge merging given several possibly jointly inconsistent, but individually consistent knowledge bases. We show that… (more)

Subjects/Keywords: probabilistic reasoning; probability function; probabilistic merging; Bregman divergence; Kullback-Leibler divergence; principles for merging

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

APA (6th Edition):

Adamcik, M. (2014). Collective Reasoning under Uncertainty and Inconsistency. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828

Chicago Manual of Style (16th Edition):

Adamcik, Martin. “Collective Reasoning under Uncertainty and Inconsistency.” 2014. Doctoral Dissertation, University of Manchester. Accessed June 26, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828.

MLA Handbook (7th Edition):

Adamcik, Martin. “Collective Reasoning under Uncertainty and Inconsistency.” 2014. Web. 26 Jun 2019.

Vancouver:

Adamcik M. Collective Reasoning under Uncertainty and Inconsistency. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Jun 26]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828.

Council of Science Editors:

Adamcik M. Collective Reasoning under Uncertainty and Inconsistency. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:219828

25. Papafitsoros, Konstantinos. Novel higher order regularisation methods for image reconstruction.

Degree: PhD, 2015, University of Cambridge

 In this thesis we study novel higher order total variation-based variational methods for digital image reconstruction. These methods are formulated in the context of Tikhonov… (more)

Subjects/Keywords: 621.36; Higher order total variation; Functions of bounded Hessian; Total generalised variation; Denoising; Deblurring; Inpainting; Staircasing effect; Split Bregman; Exact TGV solutions; Non-local Hessian; Characterisation of higher order Sobolev and BV spaces

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APA (6th Edition):

Papafitsoros, K. (2015). Novel higher order regularisation methods for image reconstruction. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/246692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637102

Chicago Manual of Style (16th Edition):

Papafitsoros, Konstantinos. “Novel higher order regularisation methods for image reconstruction.” 2015. Doctoral Dissertation, University of Cambridge. Accessed June 26, 2019. https://www.repository.cam.ac.uk/handle/1810/246692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637102.

MLA Handbook (7th Edition):

Papafitsoros, Konstantinos. “Novel higher order regularisation methods for image reconstruction.” 2015. Web. 26 Jun 2019.

Vancouver:

Papafitsoros K. Novel higher order regularisation methods for image reconstruction. [Internet] [Doctoral dissertation]. University of Cambridge; 2015. [cited 2019 Jun 26]. Available from: https://www.repository.cam.ac.uk/handle/1810/246692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637102.

Council of Science Editors:

Papafitsoros K. Novel higher order regularisation methods for image reconstruction. [Doctoral Dissertation]. University of Cambridge; 2015. Available from: https://www.repository.cam.ac.uk/handle/1810/246692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637102

26. Ruiz Garrido, Natalia Soledad Karen. Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems .

Degree: 2016, Universidad de Chile

 En esta tesis doctoral se estudian algoritmos para resolver problemas de optimización convexa con estructura separable, y problemas de equilibrio económico de Walras. Así, la… (more)

Subjects/Keywords: Ingeniería matemática; Modelos matemáticos; Algoritmos - Modelos matemáticos; Optimización convexa; Distancias Bregman; Método punto-interior

…with Bregman Regularization . . . . 4.4.1 Prelimaries . . . . . . . . . . . . . . . 4.4.2… …distances, such as Bregman distances, homogeneous second order kernels and double regularization… …fourth section, the RIPADM method using a Bregman distance is analyzed, and the algorithm… …proximal distances. For example, proximal methods using Bregman distances (see, e.g.,[… …method which blends the PCPM method and the proximal point algorithm using Bregman distances… 

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

APA (6th Edition):

Ruiz Garrido, N. S. K. (2016). Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems . (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/handle/2250/140605

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):

Ruiz Garrido, Natalia Soledad Karen. “Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems .” 2016. Thesis, Universidad de Chile. Accessed June 26, 2019. http://repositorio.uchile.cl/handle/2250/140605.

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

MLA Handbook (7th Edition):

Ruiz Garrido, Natalia Soledad Karen. “Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems .” 2016. Web. 26 Jun 2019.

Vancouver:

Ruiz Garrido NSK. Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems . [Internet] [Thesis]. Universidad de Chile; 2016. [cited 2019 Jun 26]. Available from: http://repositorio.uchile.cl/handle/2250/140605.

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

Council of Science Editors:

Ruiz Garrido NSK. Contributions to the convergence theory and computational implementation of interior optimization methods for convex problems . [Thesis]. Universidad de Chile; 2016. Available from: http://repositorio.uchile.cl/handle/2250/140605

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

27. Hashemi, Seyyed Amirreza. PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION.

Degree: MS, Applied Mathematics, 2016, University of Akron

 This thesis aims to study the parameters involved in the Split Bregmann Method(SBM) when it is applied to signal restoration problems. SBM has been used… (more)

Subjects/Keywords: Mathematics; Applied Mathematics; Signal restoration, Deblurring problem, Split Bregman method, Image processing, regularization parameter

…called the Split Bregman Method (SBM) to solve the class of l1-regularized… …solve this problem using the Split Bregman method is the focus of this thesis. 10 CHAPTER… …III SPLIT BREGMAN METHOD 3.1 Split Bregman Method The Split Bregman Method (SBM)… …sequence of unconstrained problems and a Bregman update. That is, we could defined a sequence of… …shrink(x, γ) = x ∗ max(|x| − γ, 0). |x| 3.2 Split Bregman Method for… 

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APA (6th Edition):

Hashemi, S. A. (2016). PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1469151841

Chicago Manual of Style (16th Edition):

Hashemi, Seyyed Amirreza. “PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION.” 2016. Masters Thesis, University of Akron. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1469151841.

MLA Handbook (7th Edition):

Hashemi, Seyyed Amirreza. “PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION.” 2016. Web. 26 Jun 2019.

Vancouver:

Hashemi SA. PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION. [Internet] [Masters thesis]. University of Akron; 2016. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469151841.

Council of Science Editors:

Hashemi SA. PARAMETER CHOICES FOR THE SPLIT BREGMAN METHOD APPLIED TO SIGNAL RESTORATION. [Masters Thesis]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469151841

28. Sustik, Mátyás Attila. Structured numerical problems in contemporary applications.

Degree: Computer Sciences, 2013, University of Texas – Austin

 The presence of structure in a computational problem can often be exploited and can lead to a more efficient numerical algorithm. In this dissertation, we… (more)

Subjects/Keywords: Matrix computation; Inverse eigenvalue problem; Equiangular frame; Bregman divergence; Zero-finding; Divide-and-conquer eigensolver

…the objective functions to be minimized are the von Neumann and the LogDet Bregman matrix… …divergence, and Cholesky updates in case of the LogDet Bregman matrix divergence. Our contribution… …4.1.3 Bregman’s Algorithm . . . . . . . . . . . . . 4.2 Bregman Divergences for Rank–deficient… …Kernel Learning with Bregman Matrix Divergences with B. Kulis and I. S. Dhillon appeared in… 

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

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

APA (6th Edition):

Sustik, M. A. (2013). Structured numerical problems in contemporary applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21855

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):

Sustik, Mátyás Attila. “Structured numerical problems in contemporary applications.” 2013. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/21855.

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

MLA Handbook (7th Edition):

Sustik, Mátyás Attila. “Structured numerical problems in contemporary applications.” 2013. Web. 26 Jun 2019.

Vancouver:

Sustik MA. Structured numerical problems in contemporary applications. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/21855.

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

Council of Science Editors:

Sustik MA. Structured numerical problems in contemporary applications. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21855

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

29. Sears, Timothy. Generalized Maximum Entropy, Convexity and Machine Learning .

Degree: 2010, Australian National University

 This thesis identifies and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning… (more)

Subjects/Keywords: Maximum entropy; Bregman divergence; exponential family; deformed logarithm; escort distribution; non-negative matrix factorization.

Bregman divergences, and together these represent a generalization of relative entropy. The… …NMF). Keywords: Maximum entropy, Bregman divergence, exponential family, deformed… …Examples . . . . . . . . . . . . . . . 2.3 Bregman Divergence… …2.3.1 Support function of Bregman divergence sublevel set 2.3.2 Csiszar’s divergence… …Bregman Projections 5.2.1 Bregman Projections . . . . . . . . . . . 5.2.2 U -Divergences… 

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

APA (6th Edition):

Sears, T. (2010). Generalized Maximum Entropy, Convexity and Machine Learning . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/49355

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):

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2010. Thesis, Australian National University. Accessed June 26, 2019. http://hdl.handle.net/1885/49355.

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

MLA Handbook (7th Edition):

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2010. Web. 26 Jun 2019.

Vancouver:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Internet] [Thesis]. Australian National University; 2010. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1885/49355.

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

Council of Science Editors:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Thesis]. Australian National University; 2010. Available from: http://hdl.handle.net/1885/49355

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


Colorado State University

30. Rohrbacker, Nicholas. Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques.

Degree: PhD, Mathematics, 2007, Colorado State University

 In this dissertation we propose Split Bregman algorithms for several multivariate analytic techniques for dimensionality reduction and feature selection including Sparse Principal Components Analysis, Bisparse… (more)

Subjects/Keywords: convex optimization; modularity; sparse PCA; Bisparse Singular Value Decomposition; Split Bregman; support vector machine

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

APA (6th Edition):

Rohrbacker, N. (2007). Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/71581

Chicago Manual of Style (16th Edition):

Rohrbacker, Nicholas. “Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques.” 2007. Doctoral Dissertation, Colorado State University. Accessed June 26, 2019. http://hdl.handle.net/10217/71581.

MLA Handbook (7th Edition):

Rohrbacker, Nicholas. “Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques.” 2007. Web. 26 Jun 2019.

Vancouver:

Rohrbacker N. Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10217/71581.

Council of Science Editors:

Rohrbacker N. Sparse multivariate analyses via ℓ1-regularized optimization problems solved with Bregman Iterative Techniques. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/71581

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