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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 151–200 of 823 papers

TitleStatusHype
Learning Semidefinite Regularizers—0
Convolutional Dictionary Learning through Tensor Factorization—0
Assisted Dictionary Learning for fMRI Data Analysis—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
A Study on Clustering for Clustering Based Image De-Noising—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
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
A Dictionary Learning Approach for Factorial Gaussian Models—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
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations—0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation—0
On Convex Duality in Linear Inverse Problems—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
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation—0
Deep Transform and Metric Learning Networks—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
Denoising and Completion of 3D Data via Multidimensional Dictionary Learning—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Bayesian sparsity and class sparsity priors for dictionary learning and coding—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
Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deeply-Sparse Signal rePresentations (DS^2P)—0
Convergence of alternating minimisation algorithms for dictionary learning—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
Deep Non-Rigid Structure from Motion—0
Blind Denoising Autoencoder—0
A Simple Sparse Denoising Layer for Robust Deep Learning—0
A Comparative Study for the Nuclear Norms Minimization Methods—0
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