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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 201–250 of 823 papers

TitleStatusHype
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain—0
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Unsupervised Extractive Opinion Summarization Using Sparse CodingCode0
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses—0
Dictionary learning for clustering on hyperspectral imagesCode0
Dictionary Learning with Uniform Sparse Representations for Anomaly DetectionCode0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning—0
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogatesCode0
Compressive Scanning Transmission Electron Microscopy—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals—0
SSDL: Self-Supervised Dictionary Learning—0
Spherical Matrix Factorization—0
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification—0
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern—0
Discriminative Dictionary Learning based on Statistical Methods—0
Sparse dictionary learning recovers pleiotropy from human cell fitness screensCode0
Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)—0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
Dictionary Learning with Convex Update (ROMD)—0
Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation—0
Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework—0
Mixture Model Auto-Encoders: Deep Clustering through Dictionary LearningCode0
Semi-relaxed Gromov-Wasserstein divergence with applications on graphsCode0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs—0
Dictionary Learning Under Generative Coefficient Priors with Applications to Compression—0
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images—0
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic resultsCode0
Statistical limits of dictionary learning: random matrix theory and the spectral replica method—0
Extended Successive Convex Approximation for Phase Retrieval with Dictionary Learning—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems—0
Wave-Informed Matrix Factorization with Global Optimality Guarantees—0
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning—0
Low-rank Dictionary Learning for Unsupervised Feature SelectionCode0
Recovery under Side Constraints—0
Understanding approximate and unrolled dictionary learning for pattern recoveryCode0
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary LearningCode0
Stable and Interpretable Unrolled Dictionary LearningCode0
Optimal Spectral Recovery of a Planted Vector in a Subspace—0
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm—0
Deep Transform and Metric Learning Networks—0
Learning Log-Determinant Divergences for Positive Definite Matrices—0
Blind Primed Supervised (BLIPS) Learning for MR Image ReconstructionCode0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
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