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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
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
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