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 576–600 of 823 papers

TitleStatusHype
Multimodal sparse representation learning and applications—0
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms—0
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series—0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning—0
Multiscale Adaptive Representation of Signals: I. The Basic Framework—0
Multiscale Dictionary Learning for Estimating Conditional Distributions—0
Multi-Scale Saliency Detection using Dictionary Learning—0
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images—0
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images—0
Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach—0
Near-Field Sparse Channel Representation and Estimation in 6G Wireless Communications—0
New Algorithms for Learning Incoherent and Overcomplete Dictionaries—0
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning—0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds—0
Noisy Inductive Matrix Completion Under Sparse Factor Models—0
Noisy Matrix Completion under Sparse Factor Models—0
Nonconvex Demixing From Bilinear Measurements—0
Nonlinear Functional Output Regression: a Dictionary Approach—0
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation—0
Non-negative representation based discriminative dictionary learning for face recognition—0
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications—0
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations—0
Show:102550
← PrevPage 24 of 33Next →

No leaderboard results yet.