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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 751–775 of 823 papers

TitleStatusHype
Hiding Data Helps: On the Benefits of Masking for Sparse CodingCode0
Dictionary Learning with BLOTLESS UpdateCode0
Stochastic Subsampling for Factorizing Huge MatricesCode0
Histopathological Image Classification using Discriminative Feature-oriented Dictionary LearningCode0
Supervised Dictionary Learning with Auxiliary CovariatesCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Structured Analysis Dictionary Learning for Image ClassificationCode0
Complete Dictionary Recovery over the SphereCode0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Locality Constraint Dictionary Learning with Support Vector for Pattern ClassificationCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Cloud K-SVD for Image DenoisingCode0
Analysis Dictionary Learning based Classification: Structure for RobustnessCode0
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type MethodsCode0
Low-rank Dictionary Learning for Unsupervised Feature SelectionCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
Personalized Convolutional Dictionary Learning of Physiological Time SeriesCode0
Robust Kronecker-Decomposable Component Analysis for Low-Rank ModelingCode0
Topological Dictionary LearningCode0
Information Assisted Dictionary Learning for fMRI data analysisCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
Toward Real-Time Image Annotation Using Marginalized Coupled Dictionary LearningCode0
K-Deep Simplex: Deep Manifold Learning via Local DictionariesCode0
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