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 101–125 of 823 papers

TitleStatusHype
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
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
A Tree-based Dictionary Learning Framework—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
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization—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
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—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
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures—0
Community-Level Anomaly Detection for Anti-Money Laundering—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity—0
Show:102550
← PrevPage 5 of 33Next →

No leaderboard results yet.