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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

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Showing 401–425 of 823 papers

TitleStatusHype
Efficient Dictionary Learning via Very Sparse Random Projections—0
Efficient Dictionary Learning with Sparseness-Enforcing Projections—0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Efficient Matrix Factorization Via Householder Reflections—0
Efficient Multi-Domain Dictionary Learning with GANs—0
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The _0 Method—0
_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update—0
Energy Disaggregation via Deep Temporal Dictionary Learning—0
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Estimating the distribution of Galaxy Morphologies on a continuous space—0
Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
Exact Sparse Orthogonal Dictionary Learning—0
Example Selection For Dictionary Learning—0
Explainable Trajectory Representation through Dictionary Learning—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Exploring the Limitations of Structured Orthogonal Dictionary Learning—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
Extractive Summarization by Maximizing Semantic Volume—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
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