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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 151–175 of 823 papers

TitleStatusHype
Deep Dictionary Learning with An Intra-class Constraint—0
Convolutional Dictionary Learning through Tensor Factorization—0
Convergence of alternating minimisation algorithms for dictionary learning—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
A Study on Clustering for Clustering Based Image De-Noising—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
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Dictionary Learning Approach for Factorial Gaussian Models—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
A Simple Sparse Denoising Layer for Robust Deep Learning—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Decentralized Complete Dictionary Learning via ^4-Norm Maximization—0
Decentralized Dictionary Learning Over Time-Varying Digraphs—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
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