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

Showing 451500 of 823 papers

TitleStatusHype
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration0
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering0
Generative Deep Deconvolutional Learning0
Generic Image Classification Approaches Excel on Face Recognition0
Geometric Sparse Coding in Wasserstein Space0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding0
Graph Signal Representation with Wasserstein Barycenters0
Greedy Deep Dictionary Learning0
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses0
Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization0
Group Crosscoders for Mechanistic Analysis of Symmetry0
Group Invariant Dictionary Learning0
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding0
Optimal Projected Variance Group-Sparse Block PCA0
Group sparsity and geometry constrained dictionary learning for action recognition from depth maps.0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence0
How to Train Your Deep Neural Network with Dictionary Learning0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration0
Identifiability of Complete Dictionary Learning0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals0
Identifying global optimality for dictionary learning0
Image Deraining via Self-supervised Reinforcement Learning0
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis0
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis0
Improving Neuron-level Interpretability with White-box Language Models0
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach0
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data0
Interpretable Neural Embeddings with Sparse Self-Representation0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals0
Joint Dictionaries for Zero-Shot Learning0
Joint Dictionary Learning for Example-based Image Super-resolution0
Joint DOA Estimation and Array Calibration Using Multiple Parametric Dictionary Learning0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections0
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification0
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints0
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation0
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing0
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning0
Joint Sparse Representations and Coupled Dictionary Learning in Multi-Source Heterogeneous Image Pseudo-color Fusion0
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning0
Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA0
Kernel Coding: General Formulation and Special Cases0
Kernelized Supervised Dictionary Learning0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification0
Kernel Transform Learning0
Koopman-Based Methods for EV Climate Dynamics: Comparing eDMD Approaches0
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence0
Show:102550
← PrevPage 10 of 17Next →

No leaderboard results yet.