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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 451–475 of 823 papers

TitleStatusHype
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering—0
Generative Deep Deconvolutional Learning—0
Generic Image Classification Approaches Excel on Face Recognition—0
Geometric Sparse Coding in Wasserstein Space—0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization—0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
Graph Signal Representation with Wasserstein Barycenters—0
Greedy Deep Dictionary Learning—0
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses—0
Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization—0
Group Crosscoders for Mechanistic Analysis of Symmetry—0
Group Invariant Dictionary Learning—0
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding—0
Optimal Projected Variance Group-Sparse Block PCA—0
Group sparsity and geometry constrained dictionary learning for action recognition from depth maps.—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
How to Train Your Deep Neural Network with Dictionary Learning—0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
Identifiability of Complete Dictionary Learning—0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals—0
Identifying global optimality for dictionary learning—0
Image Deraining via Self-supervised Reinforcement Learning—0
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis—0
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