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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 351–375 of 823 papers

TitleStatusHype
A Tree-based Dictionary Learning Framework—0
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation—0
RandNet: deep learning with compressed measurements of images—0
On Convex Duality in Linear Inverse Problems—0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition—0
ProSper -- A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions—0
Deep Non-Rigid Structure from Motion—0
Convolutional Dictionary Learning in Hierarchical Networks—0
Fast Convolutional Dictionary Learning off the Grid—0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
Structured Dictionary Learning for Energy Disaggregation—0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Dictionary Learning with BLOTLESS UpdateCode0
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning—0
Zero-Shot Image Classification Using Coupled Dictionary Embedding—0
Complete Dictionary Learning via ^4-Norm Maximization over the Orthogonal Group—0
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient DirectionCode0
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation—0
Approximate Guarantees for Dictionary Learning—0
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier—0
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning—0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Provable Online Dictionary Learning and Sparse Coding—0
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