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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 551–600 of 823 papers

TitleStatusHype
Sparse Matrix Factorization—0
Sparse Models for Machine Learning—0
Sparse Multi-layer Image Approximation: Facial Image Compression—0
Sparse-promoting Full Waveform Inversion based on Online Orthonormal Dictionary Learning—0
Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurements—0
Sparse Representation and Non-Negative Matrix Factorization for image denoise—0
Sparse Representation based Multi-sensor Image Fusion: A Review—0
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification—0
Sparse-View CT Reconstruction via Convolutional Sparse Coding—0
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO—0
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints—0
Sparsity Based Poisson Denoising with Dictionary Learning—0
Sparsity-Based Super Resolution for SEM Images—0
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification—0
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification—0
Spatial Transformer Point Convolution—0
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking—0
Spherical Matrix Factorization—0
Spiking sampling network for image sparse representation and dynamic vision sensor data compression—0
SSDL: Self-Supervised Dictionary Learning—0
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery—0
Statistical limits of dictionary learning: random matrix theory and the spectral replica method—0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison—0
Structure-Aware Classification using Supervised Dictionary Learning—0
Structured Dictionary Learning for Classification—0
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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