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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 701–750 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
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks—0
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data—0
Clustering Inductive Biases with Unrolled Networks—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Community-Level Anomaly Detection for Anti-Money Laundering—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method—0
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture—0
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning—0
Compositional Dictionaries for Domain Adaptive Face Recognition—0
Compressed Dictionary Learning—0
Compressed Online Dictionary Learning for Fast fMRI Decomposition—0
Compressive Electron Backscatter Diffraction Imaging—0
Compressive hyperspectral imaging via adaptive sampling and dictionary learning—0
Compressive Scanning Transmission Electron Microscopy—0
Computational Intractability of Dictionary Learning for Sparse Representation—0
Concave losses for robust dictionary learning—0
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