SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 823 papers

TitleStatusHype
Associative Memory using Dictionary Learning and Expander Decoding—0
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images—0
Astronomical Image Denoising Using Dictionary Learning—0
A Study on Clustering for Clustering Based Image De-Noising—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction—0
Atom dimension adaptation for infinite set dictionary learning—0
A Tree-based Dictionary Learning Framework—0
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Bayesian sparsity and class sparsity priors for dictionary learning and coding—0
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution—0
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods—0
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning—0
Binary Matrix Factorization via Dictionary Learning—0
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo—0
Blind Denoising Autoencoder—0
Block and Group Regularized Sparse Modeling for Dictionary Learning—0
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition—0
Boosting Adversarial Robustness and Generalization with Structural Prior—0
Boosting Dictionary Learning with Error Codes—0
Show:102550
← PrevPage 29 of 33Next →

No leaderboard results yet.