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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 751–800 of 823 papers

TitleStatusHype
Confident Kernel Sparse Coding and Dictionary Learning—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Convergence of alternating minimisation algorithms for dictionary learning—0
On Convex Duality in Linear Inverse Problems—0
Convolutional Dictionary Learning: A Comparative Review and New Algorithms—0
Convolutional Dictionary Learning Based Hybrid-Field Channel Estimation for XL-RIS-Aided Massive MIMO Systems—0
Convolutional Dictionary Learning in Hierarchical Networks—0
Convolutional Dictionary Learning through Tensor Factorization—0
Convolutional Dictionary Pair Learning Network for Image Representation Learning—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
Cross-domain Joint Dictionary Learning for ECG Inference from PPG—0
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation—0
Data-driven geophysics: from dictionary learning to deep learning—0
Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis—0
Decentralized Complete Dictionary Learning via ^4-Norm Maximization—0
Decentralized Dictionary Learning Over Time-Varying Digraphs—0
Decentralized Dynamic Discriminative Dictionary Learning—0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Dictionary Learning with An Intra-class Constraint—0
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
Deep Non-Rigid Structure from Motion—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Sparse Coding for Non-Intrusive Load Monitoring—0
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks—0
Deep Transform and Metric Learning Networks—0
DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain—0
Demystifying overcomplete nonlinear auto-encoders: fast SGD convergence towards sparse representation from random initialization—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
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