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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 601–650 of 823 papers

TitleStatusHype
Sparse Coding for Classification via Discrimination Ensemble—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Rain Streak Removal Using Layer Priors—0
Prior-Less Compressible Structure From Motion—0
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing—0
TenSR: Multi-Dimensional Tensor Sparse Representation—0
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships—0
Domain Transfer Multi-Instance Dictionary Learning—0
Simultaneous Sparse Dictionary Learning and Pruning—0
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction—0
X-ray image separation via coupled dictionary learning—0
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning—0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals—0
Decentralized Dynamic Discriminative Dictionary Learning—0
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification—0
Dictionary Learning for Massive Matrix FactorizationCode0
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion—0
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds—0
Identifying global optimality for dictionary learning—0
Efficient Dictionary Learning with Sparseness-Enforcing Projections—0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
Learning zeroth class dictionary for human action recognition—0
An improved analysis of the ER-SpUD dictionary learning algorithm—0
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View—0
Optimized Kernel-based Projection Space of Riemannian Manifolds—0
Compressed Online Dictionary Learning for Fast fMRI Decomposition—0
DOLPHIn - Dictionary Learning for Phase Retrieval—0
Greedy Deep Dictionary Learning—0
Learning a low-rank shared dictionary for object classificationCode0
Trainlets: Dictionary Learning in High Dimensions—0
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Localized Dictionary design for Geometrically Robust Sonar ATR—0
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition—0
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
A Deep Generative Deconvolutional Image Model—0
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection—0
Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow—0
Moving poselets: A discriminative and interpretable skeletal motion representation for action recognition—0
Compressive hyperspectral imaging via adaptive sampling and dictionary learning—0
Linearization to Nonlinear Learning for Visual Tracking—0
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries—0
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning—0
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising—0
Removing Rain From a Single Image via Discriminative Sparse Coding—0
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