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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 551–575 of 823 papers

TitleStatusHype
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning—0
Matrix factorization with neural networks—0
Mechanistic Decomposition of Sentence Representations—0
Metalearning: Sparse Variable-Structure Automata—0
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning—0
MIRE: Matched Implicit Neural Representations—0
Mixed-Features Vectors and Subspace Splitting—0
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation—0
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning—0
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond—0
More Algorithms for Provable Dictionary Learning—0
Moving poselets: A discriminative and interpretable skeletal motion representation for action recognition—0
MRI brain tumor segmentation using informative feature vectors and kernel dictionary learning—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Multi-Cell Detection and Classification Using a Generative Convolutional Model—0
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection—0
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis—0
Multi-field Visualization: Trait design and trait-induced merge trees—0
Multi-Focus Image Fusion Using Sparse Representation and Coupled Dictionary Learning—0
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning—0
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization—0
Multi-modal dictionary learning for image separation with application in art investigation—0
Multimodal Image Denoising based on Coupled Dictionary Learning—0
Multi-modal Image Processing based on Coupled Dictionary Learning—0
Multimodal Sparse Bayesian Dictionary Learning—0
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