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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 126150 of 823 papers

TitleStatusHype
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method0
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction0
A multi-class structured dictionary learning method using discriminant atom selection0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning0
Amora: Black-box Adversarial Morphing Attack0
A Dictionary Learning Approach for Factorial Gaussian Models0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification0
A Study on Clustering for Clustering Based Image De-Noising0
A Model for Combinatorial Dictionary Learning and Inference0
Astronomical Image Denoising Using Dictionary Learning0
A Deep Generative Deconvolutional Image Model0
A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors0
Associative Memory using Dictionary Learning and Expander Decoding0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning0
Learning Semidefinite Regularizers0
Assisted Dictionary Learning for fMRI Data Analysis0
Convolutional Dictionary Regularizers for Tomographic Inversion0
On Convex Duality in Linear Inverse Problems0
Convolutional Dictionary Learning: A Comparative Review and New Algorithms0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems0
A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images0
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation0
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