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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 251–275 of 823 papers

TitleStatusHype
Deep Transform and Metric Learning Networks—0
Boosting Dictionary Learning with Error Codes—0
Dictionary Learning with Convex Update (ROMD)—0
Dictionary Learning with Equiprobable Matching Pursuit—0
An efficient supervised dictionary learning method for audio signal recognition—0
A Generative Model for Deep Convolutional Learning—0
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Boosting Adversarial Robustness and Generalization with Structural Prior—0
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Block and Group Regularized Sparse Modeling for Dictionary Learning—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing—0
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module—0
Deep Non-Rigid Structure from Motion—0
Blind Denoising Autoencoder—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Binary Matrix Factorization via Dictionary Learning—0
Analysis of Fast Structured Dictionary Learning—0
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