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SIAM Journal on Optimization, ISSN 1052-6234, 2015, Volume 25, Issue 2, pp. 829 - 855
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2012, Volume 34, Issue 4, pp. 791 - 804
Journal Article
Foundations and Trends in Computer Graphics and Vision, ISSN 1572-2740, 2014, Volume 8, Issue 2-3, pp. 85 - 283
Journal Article
Journal Article
Statistical Science, ISSN 0883-4237, 11/2012, Volume 27, Issue 4, pp. 450 - 468
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20, Issue 25, pp. 1 - 49
The success of deep convolutional architectures is often attributed in part to their ability to learn multiscale and invariant representations of natural... 
invariant representations | kernel methods | deep learning | stability | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Other Statistics | Statistics | Machine Learning | Computer Science
Journal Article
Multiscale Modeling and Simulation, ISSN 1540-3459, 2008, Volume 7, Issue 1, pp. 214 - 241
This paper presents a framework for learning multiscale sparse representations of color images and video with overcomplete dictionaries. A single-scale K-SVD... 
Learning | Dictionary | Interpolation | Inpainting | Sparsity | Image and video processing | Multiscale representation | Denoising | APPROXIMATION | sparsity | learning | PHYSICS, MATHEMATICAL | denoising | image and video processing | inpainting | RECOVERY | interpolation | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | dictionary | FRAMES | multiscale representation | DICTIONARIES
Journal Article
Bioinformatics (Oxford, England), ISSN 1367-4803, 02/2019, Volume 35, Issue 18, pp. 3294 - 3302
The growing number of annotated biological sequences available makes it possible to learn genotype-phenotype relationships from data with increasingly high... 
Cryptography and Security | Bioinformatics | Statistics | Machine Learning | Computer Science
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2018, Volume 18, Issue 1, pp. 7854 - 7907
We introduce a generic scheme for accelerating gradient-based optimization methods in the sense of Nesterov. The approach, called Catalyst, builds upon the... 
Computer Science | Mathematics | Optimization and Control | Statistics | Machine Learning
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 07/2011, Volume 12, Issue 12, pp. 2297 - 2334
Sparse coding consists in representing signals as sparse linear combinations of atoms selected from a dictionary. We consider an extension of this framework... 
Structured sparsity | Matrix factorization | Proximal methods | Dictionary learning | matrix factorization | RECOVERY | ALGORITHM | dictionary learning | structured sparsity | ONLINE | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Statistics | Machine Learning
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 12/2016, Volume 64, Issue 24, pp. 6485 - 6500
Journal Article
2009 IEEE 12th International Conference on Computer Vision, ISSN 1550-5499, 09/2009, pp. 2272 - 2279
We propose in this paper to unify two different approaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal... 
Image sensors | Matched filters | Dictionaries | Signal restoration | Filtering | Noise reduction | Color | Digital cameras | Image restoration | Image reconstruction
Conference Proceeding
Journal of Machine Learning Research, ISSN 1532-4435, 08/2013, Volume 14, pp. 2449 - 2485
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2018, Volume 18, pp. 1 - 54
We introduce a generic scheme for accelerating gradient-based optimization methods in the sense of Nesterov. The approach, called Catalyst, builds upon the... 
Large-scale machine learning | Convex optimization | First-order methods | GRADIENT-METHOD | first-order methods | convex optimization | large-scale machine learning | ALGORITHMS | INEXACT | REGULARIZATION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Foundations and Trends in Machine Learning, ISSN 1935-8237, 2011, Volume 4, Issue 1, pp. 1 - 106
Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. They were first dedicated to linear variable... 
Kernels | Foundations | Algorithms | Norms | Blocking | Mathematical models | Representations | Optimization
Journal Article
SIAM JOURNAL ON OPTIMIZATION, ISSN 1052-6234, 2019, Volume 29, Issue 2, pp. 1408 - 1443
We propose an inexact variable-metric proximal point algorithm to accelerate gradient-based optimization algorithms. The proposed scheme, called QNing, can... 
MATHEMATICS, APPLIED | MINIMIZATION | SUPERLINEAR CONVERGENCE | L-BFGS | convex optimization | OPTIMIZATION | quasi-Newton | REGULARIZATION | SELECTION | GLOBAL CONVERGENCE | Other Statistics | Mathematics | Optimization and Control | Statistics
Journal Article
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