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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
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising—0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization—0
Approximate Guarantees for Dictionary Learning—0
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding—0
Alternating minimization for dictionary learning: Local Convergence Guarantees—0
Greedy Deep Dictionary Learning—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization—0
Compressed Online Dictionary Learning for Fast fMRI Decomposition—0
Group Crosscoders for Mechanistic Analysis of Symmetry—0
Group Invariant Dictionary Learning—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
Deep Dictionary Learning: A PARametric NETwork Approach—0
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution—0
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence—0
Deep Dictionary Learning with An Intra-class Constraint—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
Discriminatively Trained Sparse Code Gradients for Contour Detection—0
Identifiability of Complete Dictionary Learning—0
Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals—0
Discriminative Localized Sparse Representations for Breast Cancer Screening—0
Identifying global optimality for dictionary learning—0
Image Deraining via Self-supervised Reinforcement Learning—0
Compressed Dictionary Learning—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach—0
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis—0
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data—0
Interpretable Neural Embeddings with Sparse Self-Representation—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
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification—0
Deep Non-Rigid Structure from Motion—0
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals—0
Blind Denoising Autoencoder—0
Joint Dictionaries for Zero-Shot Learning—0
Discriminative Dictionary Learning based on Statistical Methods—0
Compositional Dictionaries for Domain Adaptive Face Recognition—0
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