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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 326–350 of 823 papers

TitleStatusHype
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
Fast Structured Orthogonal Dictionary Learning using Householder Reflections—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning—0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships—0
Fast Convolutional Dictionary Learning off the Grid—0
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals—0
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications—0
First and Second Order Methods for Online Convolutional Dictionary Learning—0
Flexible Multi-layer Sparse Approximations of Matrices and Applications—0
Frame-based Sparse Analysis and Synthesis Signal Representations and Parseval K-SVD—0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models—0
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast and robust tensor decomposition with applications to dictionary learning—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
Amora: Black-box Adversarial Morphing Attack—0
Generalized Conditional Gradient for Sparse Estimation—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
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