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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 301–350 of 823 papers

TitleStatusHype
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Estimating the distribution of Galaxy Morphologies on a continuous space—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
Exact Sparse Orthogonal Dictionary Learning—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Explainable Trajectory Representation through Dictionary Learning—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Compressed Online Dictionary Learning for Fast fMRI Decomposition—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
A Study on Clustering for Clustering Based Image De-Noising—0
Extractive Summarization by Maximizing Semantic Volume—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
Fast and robust tensor decomposition with applications to dictionary learning—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast Convolutional Dictionary Learning off the Grid—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors—0
Fast Rotational Sparse Coding—0
Fast Structured Orthogonal Dictionary Learning using Householder Reflections—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning—0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Discriminatively Trained Sparse Code Gradients for Contour Detection—0
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning—0
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals—0
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications—0
Discriminative Localized Sparse Representations for Breast Cancer Screening—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
Compressed Dictionary Learning—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
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering—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
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification—0
Generalized Conditional Gradient for Sparse Estimation—0
Discriminative Dictionary Learning based on Statistical Methods—0
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