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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 351–400 of 823 papers

TitleStatusHype
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering—0
Generative Deep Deconvolutional Learning—0
Generic Image Classification Approaches Excel on Face Recognition—0
Geometric Sparse Coding in Wasserstein Space—0
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations—0
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction—0
A multi-class structured dictionary learning method using discriminant atom selection—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
Fast Rotational Sparse Coding—0
Greedy Deep Dictionary Learning—0
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Fast Convolutional Dictionary Learning off the Grid—0
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding—0
Optimal Projected Variance Group-Sparse Block PCA—0
Group sparsity and geometry constrained dictionary learning for action recognition from depth maps.—0
Fast and robust tensor decomposition with applications to dictionary learning—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
Amora: Black-box Adversarial Morphing Attack—0
How to Train Your Deep Neural Network with Dictionary Learning—0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography—0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals—0
A Batchwise Monotone Algorithm for Dictionary Learning—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Image Deraining via Self-supervised Reinforcement Learning—0
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis—0
Correlation and Class Based Block Formation for Improved Structured Dictionary Learning—0
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification—0
Extractive Summarization by Maximizing Semantic Volume—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
Exploring the Limitations of Structured Orthogonal Dictionary Learning—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
A Study on Clustering for Clustering Based Image De-Noising—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Explainable Trajectory Representation through Dictionary Learning—0
Example Selection For Dictionary Learning—0
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