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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 301–350 of 823 papers

TitleStatusHype
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
Understanding l4-based Dictionary Learning: Interpretation, Stability, and RobustnessCode0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks—0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Encoder blind combinatorial compressed sensing—0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Multiscale Sparsifying Transform Learning for Image DenoisingCode0
Fault Handling in Large Water Networks with Online Dictionary LearningCode0
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification—0
Nonlinear Functional Output Regression: a Dictionary Approach—0
Unsupervised Dictionary Learning for Anomaly Detection—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI—0
Learning efficient structured dictionary for image classification—0
Learning Deep Analysis Dictionaries -- Part II: Convolutional Dictionaries—0
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications—0
Dictionary Learning for Two-Dimensional Kendall Shapes—0
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space—0
Convolutional Dictionary Pair Learning Network for Image Representation Learning—0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning—0
Kernel Transform Learning—0
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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