SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 823 papers

TitleStatusHype
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
Show:102550
← PrevPage 26 of 33Next →

No leaderboard results yet.