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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
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
Complete Dictionary Learning via _p-norm MaximizationCode1
Sketchformer: Transformer-based Representation for Sketched StructureCode1
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
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Kernel Transform Learning—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis—0
Blind Denoising Autoencoder—0
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning—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
Online matrix factorization for Markovian data and applications to Network Dictionary LearningCode1
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
A Tree-based Dictionary Learning Framework—0
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation—0
RandNet: deep learning with compressed measurements of images—0
On Convex Duality in Linear Inverse Problems—0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
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