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 776–800 of 823 papers

TitleStatusHype
Decentralized Dictionary Learning Over Time-Varying Digraphs—0
Decentralized Dynamic Discriminative Dictionary Learning—0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Dictionary Learning with An Intra-class Constraint—0
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
Deep Non-Rigid Structure from Motion—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Deep Transform and Metric Learning Networks—0
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain—0
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
Show:102550
← PrevPage 32 of 33Next →

No leaderboard results yet.