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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 576–600 of 823 papers

TitleStatusHype
Structured Dictionary Learning for Energy Disaggregation—0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation—0
Structured Sparse Principal Component Analysis—0
Subgraph Clustering and Atom Learning for Improved Image Classification—0
Submodular Attribute Selection for Action Recognition in Video—0
Subsampled terahertz data reconstruction based on spatio-temporal dictionary learning—0
Subsampling Methods for Fast Electron Backscattered Diffraction Analysis—0
Subset Selection by Pareto Optimization—0
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation—0
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada—0
Extended Successive Convex Approximation for Phase Retrieval with Dictionary Learning—0
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning—0
Supervised Dictionary Learning—0
Supervised Dictionary Learning and Sparse Representation-A Review—0
Supervised Dictionary Learning by a Variational Bayesian Group Sparse Nonnegative Matrix Factorization—0
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation—0
Supervised Learning of Sparsity-Promoting Regularizers for Denoising—0
Synthesis-based Robust Low Resolution Face Recognition—0
Tag Taxonomy Aware Dictionary Learning for Region Tagging—0
Task-Driven Dictionary Learning—0
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints—0
Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition—0
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis—0
TenSR: Multi-Dimensional Tensor Sparse Representation—0
The Decimation Scheme for Symmetric Matrix Factorization—0
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