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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 101–125 of 823 papers

TitleStatusHype
An Efficient Approximate Method for Online Convolutional Dictionary LearningCode0
Harmonization of diffusion MRI datasets with adaptive dictionary learningCode0
Fault Handling in Large Water Networks with Online Dictionary LearningCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
CASTER: Predicting Drug Interactions with Chemical Substructure RepresentationCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Interpreting Large Text-to-Image Diffusion Models with Dictionary LearningCode0
Deep Interpretable Non-Rigid Structure from MotionCode0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Learning Dictionaries from Physical-Based Interpolation for Water Network Leak LocalizationCode0
Classification with Incoherent Kernel Dictionary LearningCode0
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning TechniquesCode0
Learning parametric dictionaries for graph signalsCode0
Learning Priors in High-frequency Domain for Inverse Imaging ReconstructionCode0
Anomaly Detection with Selective Dictionary LearningCode0
Cloud K-SVD for Image DenoisingCode0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Metrics for Multivariate DictionariesCode0
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningCode0
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural NetworksCode0
A Riemannian ADMMCode0
Multi-focus Image Fusion using dictionary learning and Low-Rank RepresentationCode0
Convolutional Dictionary Learning via Local ProcessingCode0
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