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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 351–375 of 823 papers

TitleStatusHype
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
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Fast Convolutional Dictionary Learning off the Grid—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Greedy Deep Dictionary Learning—0
Fast and robust tensor decomposition with applications to dictionary learning—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Amora: Black-box Adversarial Morphing Attack—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography—0
A Batchwise Monotone Algorithm for Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—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
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
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