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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 676–700 of 823 papers

TitleStatusHype
A multi-class structured dictionary learning method using discriminant atom selection—0
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures—0
Analysis Co-Sparse Coding for Energy Disaggregation—0
Analysis Dictionary Learning: An Efficient and Discriminative Solution—0
ANALYSIS OF CALIBRATED SEA CLUTTER AND BOAT REFLECTIVITY DATA AT C- AND X-BAND IN SOUTH AFRICAN COASTAL WATERS—0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Analysis of Fast Structured Dictionary Learning—0
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing—0
An efficient supervised dictionary learning method for audio signal recognition—0
An improved analysis of the ER-SpUD dictionary learning algorithm—0
An Incidence Geometry approach to Dictionary Learning—0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds—0
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media—0
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
An unsupervised deep learning framework for medical image denoising—0
Application of Dictionary Learning in Alleviating Computational Burden of EEG Source Localization—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Approximate Guarantees for Dictionary Learning—0
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models—0
A Resolution Independent Neural Operator—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation—0
Assisted Dictionary Learning for fMRI Data Analysis—0
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