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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 51–75 of 823 papers

TitleStatusHype
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points—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
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]—0
Atom dimension adaptation for infinite set dictionary learning—0
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning—0
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media—0
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
An unsupervised deep learning framework for medical image denoising—0
An improved analysis of the ER-SpUD dictionary learning algorithm—0
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data—0
An efficient supervised dictionary learning method for audio signal recognition—0
A Generative Model for Deep Convolutional Learning—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module—0
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization—0
Analysis of Fast Structured Dictionary Learning—0
Active Dictionary Learning in Sparse Representation Based Classification—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
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