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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 551–575 of 823 papers

TitleStatusHype
Observable dictionary learning for high-dimensional statistical inference—0
Sparse Representation based Multi-sensor Image Fusion: A Review—0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing WorldCode0
Stochastic Subsampling for Factorizing Huge MatricesCode0
Boosting Dictionary Learning with Error Codes—0
Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition—0
Dictionary Learning from Incomplete Data—0
Joint Dictionary Learning for Example-based Image Super-resolution—0
Learning Semidefinite Regularizers—0
How to Train Your Deep Neural Network with Dictionary Learning—0
Distributed Dictionary Learning—0
Sparse Factorization Layers for Neural Networks with Limited Supervision—0
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis—0
Object Classification with Joint Projection and Low-rank Dictionary Learning—0
Learning brain regions via large-scale online structured sparse dictionary learning—0
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]—0
Active Deep Learning for Classification of Hyperspectral Images—0
Associative Memory using Dictionary Learning and Expander Decoding—0
Dictionary Learning with Equiprobable Matching Pursuit—0
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors—0
Learning Fast Sparsifying Transforms—0
Binary Pattern Dictionary Learning for Gene Expression Representation in Drosophila Imaginal Discs.Code0
Multi-Scale Saliency Detection using Dictionary Learning—0
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data—0
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