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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
Confident Kernel Sparse Coding and Dictionary Learning—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Convergence of alternating minimisation algorithms for dictionary learning—0
On Convex Duality in Linear Inverse Problems—0
Convolutional Dictionary Learning: A Comparative Review and New Algorithms—0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems—0
Convolutional Dictionary Learning in Hierarchical Networks—0
Convolutional Dictionary Learning through Tensor Factorization—0
Convolutional Dictionary Pair Learning Network for Image Representation Learning—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
Cross-domain Joint Dictionary Learning for ECG Inference from PPG—0
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation—0
Data-driven geophysics: from dictionary learning to deep learning—0
Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Decentralized Complete Dictionary Learning via ^4-Norm Maximization—0
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