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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 76–100 of 823 papers

TitleStatusHype
Dictionary learning for clustering on hyperspectral imagesCode0
Dictionary Learning with BLOTLESS UpdateCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
Deep Interpretable Non-Rigid Structure from MotionCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Network Classification by Scattering and Homotopy Dictionary LearningCode0
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary LearningCode0
Efficient and Parallel Separable Dictionary LearningCode0
A Zero-Shot Physics-Informed Dictionary Learning Approach for Sound Field ReconstructionCode0
Bayesian Mean-parameterized Nonnegative Binary Matrix FactorizationCode0
Analysis Dictionary Learning based Classification: Structure for RobustnessCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Face Recognition via Locality Constrained Low Rank Representation and Dictionary LearningCode0
Blind Primed Supervised (BLIPS) Learning for MR Image ReconstructionCode0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
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