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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 426450 of 823 papers

TitleStatusHype
Decentralized Dictionary Learning Over Time-Varying Digraphs0
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction0
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images0
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy0
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI0
Analysis Dictionary Learning based Classification: Structure for RobustnessCode0
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encodersCode0
Sparse Representation and Non-Negative Matrix Factorization for image denoise0
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking0
Deeply-Sparse Signal rePresentations (DS^2P)0
The Generalization Error of Dictionary Learning with Moreau Envelopes0
Multimodal Image Denoising based on Coupled Dictionary Learning0
Multi-modal Image Processing based on Coupled Dictionary Learning0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization0
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals0
Fast Rotational Sparse Coding0
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices0
Multi-Cell Detection and Classification Using a Generative Convolutional Model0
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music RecordingsCode0
Coding Kendall's Shape Trajectories for 3D Action Recognition0
Analysis of Fast Structured Dictionary Learning0
Dictionary Learning for Adaptive GPR Landmine Classification0
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