Multi-view data representation via adaptive label propagation nonnegative matrix factorization

Hui Li; Chengcai Leng; Jinye Peng; Zhao Pei; Anup Basu

doi:10.1016/j.ins.2024.121859

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-view data representation via adaptive label propagation nonnegative matrix factorization

Hui Li Chengcai Leng Jinye Peng Zhao Pei Anup Basu

Year: 2025 Journal: Information Sciences Vol: 700 Pages: 121859-121859 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2024.121859

Get Full-Text PDF Get Analytical Report

Keywords:

Representation (politics) Non-negative matrix factorization Computer science Matrix decomposition Matrix (chemical analysis) External Data Representation Nonnegative matrix Artificial intelligence Mathematics Theoretical computer science Algebra over a field Symmetric matrix Pure mathematics

Metrics

Cited By

14.32

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-view data representation via adaptive label propagation nonnegative matrix factorization

Metrics

Citation History

Topics

Related Documents

Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization

Adaptive graph regularized nonnegative matrix factorization for data representation

Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization