Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion

Guojie Li; Zhiwen Yu; Ziwei Fan; Kaixiang Yang

doi:10.1007/978-981-95-1233-1_16

ScienceGate Book Chapters

BOOK-CHAPTER

Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion

Guojie Li Zhiwen Yu Ziwei Fan Kaixiang Yang

Year: 2025 Lecture notes in computer science Pages: 172-181 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-95-1233-1_16

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Graph Fusion Feature (linguistics) Pattern recognition (psychology) Machine learning Theoretical computer science

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.60

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion

Metrics

Topics

Related Documents

Multi-View Semi-Supervised Learning with Adaptive Graph Fusion

Multi-view semi-supervised learning with adaptive graph fusion

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning

Multi-view semi-supervised feature selection based on adaptive graph and tensor learning

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks