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 526–550 of 823 papers

TitleStatusHype
Online Convolutional Dictionary Learning for Multimodal Imaging—0
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms—0
Personalized Age Progression with Bi-level Aging Dictionary Learning—0
Multi-Focus Image Fusion Using Sparse Representation and Coupled Dictionary Learning—0
Local Information with Feedback Perturbation Suffices for Dictionary Learning in Neural Circuits—0
Convolutional Dictionary Learning via Local ProcessingCode0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach—0
Optimal Projected Variance Group-Sparse Block PCA—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis—0
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning—0
Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization—0
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image ReconstructionCode0
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition—0
Robust Kronecker-Decomposable Component Analysis for Low-Rank ModelingCode0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Local Patch Encoding-Based Method for Single Image Super-Resolution—0
Online Multilinear Dictionary Learning—0
A Deep Cascade of Convolutional Neural Networks for MR Image ReconstructionCode0
Observable dictionary learning for high-dimensional statistical inference—0
Sparse Representation based Multi-sensor Image Fusion: A Review—0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Show:102550
← PrevPage 22 of 33Next →

No leaderboard results yet.