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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 326–350 of 823 papers

TitleStatusHype
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Blind Denoising Autoencoder—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning—0
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis—0
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning—0
Amora: Black-box Adversarial Morphing Attack—0
Face Recognition via Locality Constrained Low Rank Representation and Dictionary LearningCode0
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning—0
Locality Constraint Dictionary Learning with Support Vector for Pattern ClassificationCode0
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type MethodsCode0
Sparse Coding on Cascaded Residuals—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
Community-Level Anomaly Detection for Anti-Money Laundering—0
Learning Priors in High-frequency Domain for Inverse Imaging ReconstructionCode0
Dictionary Learning with Almost Sure Error Constraints—0
Word Embedding Visualization Via Dictionary LearningCode0
Deep Network Classification by Scattering and Homotopy Dictionary LearningCode0
Harmonization of diffusion MRI datasets with adaptive dictionary learningCode0
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications—0
Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurements—0
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