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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 251–300 of 823 papers

TitleStatusHype
Gaussian Process Convolutional Dictionary Learning—0
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond—0
Exact Sparse Orthogonal Dictionary Learning—0
An unsupervised deep learning framework for medical image denoising—0
PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers—0
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method—0
Coupled Feature Learning for Multimodal Medical Image FusionCode0
Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume FractionCode0
Metalearning: Sparse Variable-Structure Automata—0
Cross-domain Joint Dictionary Learning for ECG Inference from PPG—0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
Mixed-Features Vectors and Subspace Splitting—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
Reprogramming Language Models for Molecular Representation Learning—0
K-Deep Simplex: Deep Manifold Learning via Local DictionariesCode0
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse CodingCode0
A Neuro-Inspired Autoencoding Defense Against Adversarial PerturbationsCode0
Discriminative Localized Sparse Representations for Breast Cancer Screening—0
Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Joint Transceiver Design Based on Dictionary Learning Algorithm for SCMA—0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning—0
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion—0
Online nonnegative CP-dictionary learning for Markovian dataCode0
Semi-supervised dictionary learning with graph regularization and active pointsCode0
ECG Beats Fast Classification Base on Sparse DictionariesCode0
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks—0
Spatial Transformer Point Convolution—0
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
ECG beats classification via online sparse dictionary and time pyramid matchingCode0
Unidentified Floating Object detection in maritime environment using dictionary learning—0
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO—0
Group Invariant Dictionary Learning—0
Data-driven geophysics: from dictionary learning to deep learning—0
Efficient and Parallel Separable Dictionary LearningCode0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
Novel min-max reformulations of Linear Inverse Problems—0
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data—0
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in AutismCode0
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary LearningCode0
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning—0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
On the Preservation of Spatio-temporal Information in Machine Learning Applications—0
Recovery and Generalization in Over-Realized Dictionary Learning—0
Supervised Learning of Sparsity-Promoting Regularizers for Denoising—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction—0
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