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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 251–275 of 823 papers

TitleStatusHype
Deep Semantic Dictionary Learning for Multi-label Image ClassificationCode1
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
Learning Multiscale Convolutional Dictionaries for Image ReconstructionCode1
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
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and LanguageCode1
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
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