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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 151–200 of 823 papers

TitleStatusHype
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
A Deep Cascade of Convolutional Neural Networks for MR Image ReconstructionCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
Dictionary Learning for Massive Matrix FactorizationCode0
Information Assisted Dictionary Learning for fMRI data analysisCode0
Dictionary learning for clustering on hyperspectral imagesCode0
Label Embedded Dictionary Learning for Image ClassificationCode0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and AlgorithmsCode0
Learning Multiplication-free Linear TransformationsCode0
Learning Priors in High-frequency Domain for Inverse Imaging ReconstructionCode0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Dictionary Learning with BLOTLESS UpdateCode0
Metrics for Multivariate DictionariesCode0
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary LearningCode0
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningCode0
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image ReconstructionCode0
Understanding approximate and unrolled dictionary learning for pattern recoveryCode0
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled DictionariesCode0
Multimodal Task-Driven Dictionary Learning for Image ClassificationCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field ReconstructionCode0
Complete Dictionary Recovery over the SphereCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
Fast Low-rank Shared Dictionary Learning for Image ClassificationCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method—0
An unsupervised deep learning framework for medical image denoising—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Community-Level Anomaly Detection for Anti-Money Laundering—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Clustering Inductive Biases with Unrolled Networks—0
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media—0
Alignment Distances on Systems of Bags—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data—0
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
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