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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

Showing 601650 of 823 papers

TitleStatusHype
Sparse Coding for Classification via Discrimination Ensemble0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis0
Rain Streak Removal Using Layer Priors0
Prior-Less Compressible Structure From Motion0
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing0
TenSR: Multi-Dimensional Tensor Sparse Representation0
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships0
Domain Transfer Multi-Instance Dictionary Learning0
Simultaneous Sparse Dictionary Learning and Pruning0
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction0
X-ray image separation via coupled dictionary learning0
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals0
Decentralized Dynamic Discriminative Dictionary Learning0
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification0
Dictionary Learning for Massive Matrix FactorizationCode0
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion0
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds0
Identifying global optimality for dictionary learning0
Efficient Dictionary Learning with Sparseness-Enforcing Projections0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances0
Learning zeroth class dictionary for human action recognition0
An improved analysis of the ER-SpUD dictionary learning algorithm0
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View0
Optimized Kernel-based Projection Space of Riemannian Manifolds0
Compressed Online Dictionary Learning for Fast fMRI Decomposition0
DOLPHIn - Dictionary Learning for Phase Retrieval0
Greedy Deep Dictionary Learning0
Learning a low-rank shared dictionary for object classificationCode0
Trainlets: Dictionary Learning in High Dimensions0
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition0
Localized Dictionary design for Geometrically Robust Sonar ATR0
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition0
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning0
A Deep Generative Deconvolutional Image Model0
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection0
Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow0
Moving poselets: A discriminative and interpretable skeletal motion representation for action recognition0
Compressive hyperspectral imaging via adaptive sampling and dictionary learning0
Linearization to Nonlinear Learning for Visual Tracking0
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries0
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos0
Conformal and Low-Rank Sparse Representation for Image Restoration0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising0
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning0
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising0
Removing Rain From a Single Image via Discriminative Sparse Coding0
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