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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 51–75 of 823 papers

TitleStatusHype
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse CodingCode0
Dictionary Learning with BLOTLESS UpdateCode0
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary LearningCode0
Anomaly Detection with Selective Dictionary LearningCode0
A Neuro-Inspired Autoencoding Defense Against Adversarial PerturbationsCode0
Understanding approximate and unrolled dictionary learning for pattern recoveryCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
Dictionary learning for clustering on hyperspectral imagesCode0
An Efficient Approximate Method for Online Convolutional Dictionary LearningCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Deep Network Classification by Scattering and Homotopy Dictionary LearningCode0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
Dictionary Learning for Massive Matrix FactorizationCode0
Face Recognition via Locality Constrained Low Rank Representation and Dictionary LearningCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Analysis Dictionary Learning based Classification: Structure for RobustnessCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
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