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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 501–525 of 823 papers

TitleStatusHype
Robust Kronecker Component Analysis—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries—0
Robust Photometric Stereo via Dictionary Learning—0
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification—0
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning—0
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing—0
Sample Complexity of Bayesian Optimal Dictionary Learning—0
Sample Complexity of Dictionary Learning and other Matrix Factorizations—0
Sample-Specific SVM Learning for Person Re-Identification—0
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning—0
Self-expressive Dictionary Learning for Dynamic 3D Reconstruction—0
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning—0
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning—0
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs—0
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning—0
Semi-Supervised Coupled Dictionary Learning for Person Re-identification—0
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion—0
Semi-supervised dual graph regularized dictionary learning—0
SenseAI: Real-Time Inpainting for Electron Microscopy—0
Separable Dictionary Learning—0
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI—0
Simple Alternating Minimization Provably Solves Complete Dictionary Learning—0
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