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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

Showing 201250 of 823 papers

TitleStatusHype
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU0
Dictionary Learning Based on Sparse Distribution Tomography0
Dictionary-Learning-Based Data Pruning for System Identification0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning0
An Incidence Geometry approach to Dictionary Learning0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization0
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms0
CIM: Class-Irrelevant Mapping for Few-Shot Classification0
An improved analysis of the ER-SpUD dictionary learning algorithm0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images0
Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images0
A Greedy Approach to _0, Based Convolutional Sparse Coding0
Dictionary and Image Recovery from Incomplete and Random Measurements0
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders0
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis0
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings0
Dictionary Learning and Sparse Coding on Statistical Manifolds0
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method0
Dictionary learning approach to monitoring of wind turbine drivetrain bearings0
Denoising Dictionary Learning Against Adversarial Perturbations0
Dictionary learning based image enhancement for rarity detection0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances0
Dictionary-Learning-Based Reconstruction Method for Electron Tomography0
Dictionary Learning by Dynamical Neural Networks0
Dictionary Learning for Adaptive GPR Landmine Classification0
Dictionary Learning for Blind One Bit Compressed Sensing0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning0
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization0
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization0
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain0
Dictionary Learning for Two-Dimensional Kendall Shapes0
Dictionary Learning from Ambiguously Labeled Data0
Dictionary Learning from Incomplete Data0
Dictionary learning -- from local towards global and adaptive0
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT0
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy0
Dictionary Learning over Distributed Models0
Deep Transform and Metric Learning Networks0
Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model0
Dictionary Learning Under Generative Coefficient Priors with Applications to Compression0
Dictionary Learning under Symmetries via Group Representations0
Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)0
Boosting Dictionary Learning with Error Codes0
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