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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 301–325 of 823 papers

TitleStatusHype
Decentralized Dictionary Learning Over Time-Varying Digraphs—0
Decentralized Complete Dictionary Learning via ^4-Norm Maximization—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation—0
Data-driven geophysics: from dictionary learning to deep learning—0
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation—0
A Tree-based Dictionary Learning Framework—0
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning—0
Atom dimension adaptation for infinite set dictionary learning—0
Cross-domain Joint Dictionary Learning for ECG Inference from PPG—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction—0
A multi-class structured dictionary learning method using discriminant atom selection—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Fast Convolutional Dictionary Learning off the Grid—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
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