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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 376–400 of 823 papers

TitleStatusHype
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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