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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 226–250 of 823 papers

TitleStatusHype
Optimal Spectral Recovery of a Planted Vector in a Subspace—0
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm—0
Deep Transform and Metric Learning Networks—0
Learning Log-Determinant Divergences for Positive Definite Matrices—0
Blind Primed Supervised (BLIPS) Learning for MR Image ReconstructionCode0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorsCode1
Gaussian Process Convolutional Dictionary Learning—0
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond—0
Exact Sparse Orthogonal Dictionary Learning—0
An unsupervised deep learning framework for medical image denoising—0
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers—0
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method—0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Learning low-rank latent mesoscale structures in networksCode1
Online Graph Dictionary LearningCode1
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image ReconstructionCode1
Metalearning: Sparse Variable-Structure Automata—0
Cross-domain Joint Dictionary Learning for ECG Inference from PPG—0
Mixed-Features Vectors and Subspace Splitting—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
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