Embedded feature fusion for multi-view multi-label feature selection

Pingting Hao; Wanfu Gao; Liang Hu

doi:10.1016/j.patcog.2024.110888

ScienceGate Book Chapters

JOURNAL ARTICLE

Embedded feature fusion for multi-view multi-label feature selection

Pingting Hao Wanfu Gao Liang Hu

Year: 2024 Journal: Pattern Recognition Vol: 157 Pages: 110888-110888 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.110888

Get Full-Text PDF Get Analytical Report

Keywords:

Feature selection Feature (linguistics) Artificial intelligence Computer science Pattern recognition (psychology) Fusion Selection (genetic algorithm) Multi-label classification

Metrics

Cited By

17.25

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Embedded feature fusion for multi-view multi-label feature selection

Metrics

Citation History

Topics

Related Documents

Exploring view-specific label relationships for multi-view multi-label feature selection

Feature relevance and redundancy coefficients for multi-view multi-label feature selection

Discriminative multi-view feature selection and fusion

Embedded multi-label feature selection via orthogonal regression

Dual Feature Fusion for Incomplete Multi-view Multi-label Learning