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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 201–225 of 823 papers

TitleStatusHype
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning—0
An Incidence Geometry approach to Dictionary Learning—0
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization—0
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
An improved analysis of the ER-SpUD dictionary learning algorithm—0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images—0
Dependent Nonparametric Bayesian Group Dictionary Learning for online reconstruction of Dynamic MR images—0
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders—0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization—0
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis—0
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors—0
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization—0
Dictionary Learning and Sparse Coding on Statistical Manifolds—0
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain—0
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