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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 426–450 of 823 papers

TitleStatusHype
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy—0
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI—0
Analysis Dictionary Learning based Classification: Structure for RobustnessCode0
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encodersCode0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking—0
Sparse Representation and Non-Negative Matrix Factorization for image denoise—0
The Generalization Error of Dictionary Learning with Moreau Envelopes—0
Multimodal Image Denoising based on Coupled Dictionary Learning—0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Multi-modal Image Processing based on Coupled Dictionary Learning—0
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization—0
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals—0
Fast Rotational Sparse Coding—0
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Multi-Cell Detection and Classification Using a Generative Convolutional Model—0
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music RecordingsCode0
Analysis of Fast Structured Dictionary Learning—0
Dictionary Learning for Adaptive GPR Landmine Classification—0
Dictionary Learning by Dynamical Neural Networks—0
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories—0
Dictionary Learning and Sparse Coding on Statistical Manifolds—0
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