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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 101–150 of 823 papers

TitleStatusHype
An Efficient Approximate Method for Online Convolutional Dictionary LearningCode0
Low-rank Dictionary Learning for Unsupervised Feature SelectionCode0
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningCode0
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
Fast Low-rank Shared Dictionary Learning for Image ClassificationCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Fault Handling in Large Water Networks with Online Dictionary LearningCode0
Histopathological Image Classification using Discriminative Feature-oriented Dictionary LearningCode0
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled DictionariesCode0
Multimodal Task-Driven Dictionary Learning for Image ClassificationCode0
Learning Dictionaries from Physical-Based Interpolation for Water Network Leak LocalizationCode0
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing WorldCode0
Classification with Incoherent Kernel Dictionary LearningCode0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
Efficient and Parallel Separable Dictionary LearningCode0
Online Convex Matrix Factorization with Representative RegionsCode0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
Cloud K-SVD for Image DenoisingCode0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
Orthogonally weighted _2,1 regularization for rank-aware joint sparse recovery: algorithm and analysisCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
ECG beats classification via online sparse dictionary and time pyramid matchingCode0
Stable and Interpretable Unrolled Dictionary LearningCode0
Recognizing Partial Biometric PatternsCode0
Dictionary Learning with BLOTLESS UpdateCode0
Dictionary Learning for Massive Matrix FactorizationCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
ECG Beats Fast Classification Base on Sparse DictionariesCode0
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse CodingCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free ApproachCode0
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary LearningCode0
Deep Network Classification by Scattering and Homotopy Dictionary LearningCode0
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary LearningCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
A Deep Cascade of Convolutional Neural Networks for MR Image ReconstructionCode0
Deep Interpretable Non-Rigid Structure from MotionCode0
Understanding approximate and unrolled dictionary learning for pattern recoveryCode0
A Riemannian ADMMCode0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogatesCode0
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image ReconstructionCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Convergence radius and sample complexity of ITKM algorithms for dictionary learningCode0
Convolutional Analysis Operator Learning: Acceleration and ConvergenceCode0
Convolutional Dictionary Learning: Acceleration and ConvergenceCode0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionCode0
Complete Dictionary Recovery over the SphereCode0
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