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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
Dictionary Learning by Dynamical Neural Networks—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition—0
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
Dictionary learning for fast classification based on soft-thresholding—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Deep Transform and Metric Learning Networks—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
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Convergence of alternating minimisation algorithms for dictionary learning—0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders—0
Buried object detection using handheld WEMI with task-driven extended functions of multiple instances—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—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
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Dictionary Learning and Sparse Coding on Statistical Manifolds—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
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