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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
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
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning—0
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