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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

Showing 801823 of 823 papers

TitleStatusHype
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders0
Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification0
Dictionary and Image Recovery from Incomplete and Random Measurements0
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis0
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution0
Dictionary Learning and Sparse Coding on Statistical Manifolds0
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method0
Dictionary learning approach to monitoring of wind turbine drivetrain bearings0
Dictionary-Learning-Based Data Pruning for System Identification0
Dictionary learning based image enhancement for rarity detection0
Dictionary Learning Based on Sparse Distribution Tomography0
Dictionary-Learning-Based Reconstruction Method for Electron Tomography0
Dictionary Learning by Dynamical Neural Networks0
Dictionary Learning for Adaptive GPR Landmine Classification0
Dictionary Learning for Blind One Bit Compressed Sensing0
Dictionary learning for fast classification based on soft-thresholding0
Dictionary Learning for Robotic Grasp Recognition and Detection0
Dictionary Learning for Two-Dimensional Kendall Shapes0
Dictionary Learning from Ambiguously Labeled Data0
Dictionary Learning from Incomplete Data0
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