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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
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Bayesian Mean-parameterized Nonnegative Binary Matrix FactorizationCode0
Graph Signal Representation with Wasserstein Barycenters—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
An efficient supervised dictionary learning method for audio signal recognition—0
Semi-supervised dual graph regularized dictionary learning—0
Learning Multiplication-free Linear TransformationsCode0
A multi-class structured dictionary learning method using discriminant atom selection—0
On learning with shift-invariant structuresCode0
Time Series Classification to Improve Poultry Welfare—0
Efficient Multi-Domain Dictionary Learning with GANs—0
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing—0
Subgradient Descent Learns Orthogonal DictionariesCode0
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors—0
Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns—0
Recognizing Partial Biometric PatternsCode0
Sparse-View CT Reconstruction via Convolutional Sparse Coding—0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Nonconvex Demixing From Bilinear Measurements—0
Energy Disaggregation via Deep Temporal Dictionary Learning—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Online Dictionary Learning for Approximate Archetypal Analysis—0
Identifiability of Complete Dictionary Learning—0
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