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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 751–800 of 823 papers

TitleStatusHype
Supervised Dictionary Learning by a Variational Bayesian Group Sparse Nonnegative Matrix Factorization—0
On the Computational Intractability of Exact and Approximate Dictionary Learning—0
Group-based Sparse Representation for Image RestorationCode0
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media—0
On The Sample Complexity of Sparse Dictionary Learning—0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Group sparsity and geometry constrained dictionary learning for action recognition from depth maps.—0
An Incidence Geometry approach to Dictionary Learning—0
Performance Limits of Dictionary Learning for Sparse Coding—0
Dictionary learning for fast classification based on soft-thresholding—0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
Dictionary Learning over Distributed Models—0
Phase transitions and sample complexity in Bayes-optimal matrix factorization—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Learning _1-based analysis and synthesis sparsity priors using bi-level optimization—0
Learning parametric dictionaries for graph signalsCode0
More Algorithms for Provable Dictionary Learning—0
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures—0
Sample Complexity of Dictionary Learning and other Matrix Factorizations—0
Multiscale Dictionary Learning for Estimating Conditional Distributions—0
Dictionary-Learning-Based Reconstruction Method for Electron Tomography—0
Sparse Matrix Factorization—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Online Unsupervised Feature Learning for Visual Tracking—0
Generic Image Classification Approaches Excel on Face Recognition—0
Sparsity Based Poisson Denoising with Dictionary Learning—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
New Algorithms for Learning Incoherent and Overcomplete Dictionaries—0
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification—0
Sparse Dictionary-based Attributes for Action Recognition and Summarization—0
Compositional Dictionaries for Domain Adaptive Face Recognition—0
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning—0
Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm—0
Optimization of Clustering for Clustering-based Image Denoising—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
Dictionary Learning from Ambiguously Labeled Data—0
Tag Taxonomy Aware Dictionary Learning for Region Tagging—0
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation—0
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization—0
Block and Group Regularized Sparse Modeling for Dictionary Learning—0
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution—0
Online Robust Dictionary Learning—0
Separable Dictionary Learning—0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography—0
Simple Deep Random Model Ensemble—0
Dictionary learning based image enhancement for rarity detection—0
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel ApproachCode0
Astronomical Image Denoising Using Dictionary Learning—0
Distributed dictionary learning over a sensor network—0
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