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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 176–200 of 823 papers

TitleStatusHype
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Sensing Theorems for Unsupervised Learning in Linear Inverse ProblemsCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Unsupervised Extractive Opinion Summarization Using Sparse CodingCode0
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses—0
Dictionary learning for clustering on hyperspectral imagesCode0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning—0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogatesCode0
Compressive Scanning Transmission Electron Microscopy—0
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
SSDL: Self-Supervised Dictionary Learning—0
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary EnhancementCode1
Spherical Matrix Factorization—0
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification—0
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern—0
Discriminative Dictionary Learning based on Statistical Methods—0
Sparse dictionary learning recovers pleiotropy from human cell fitness screensCode0
Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)—0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
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