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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 501–550 of 823 papers

TitleStatusHype
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization—0
Convolutional Dictionary Learning: A Comparative Review and New Algorithms—0
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images—0
First and Second Order Methods for Online Convolutional Dictionary Learning—0
Sparsity-Based Super Resolution for SEM Images—0
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning—0
On the Reconstruction Risk of Convolutional Sparse Dictionary LearningCode0
Sparse Coding and Autoencoders—0
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learningCode0
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Dictionary Learning Based on Sparse Distribution Tomography—0
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
Joint DOA Estimation and Array Calibration Using Multiple Parametric Dictionary Learning—0
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis—0
Synthesis-based Robust Low Resolution Face Recognition—0
Convolutional Dictionary Learning: Acceleration and ConvergenceCode0
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image—0
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors—0
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning—0
Online Convolutional Dictionary Learning—0
Fast and robust tensor decomposition with applications to dictionary learning—0
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification—0
Alignment Distances on Systems of Bags—0
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
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