Multi-view multi-label learning for image annotation

Fuhao Zou; Yu Liu; Hua Wang; Jingkuan Song; Jie Shao; Ke Zhou; Sheng Zheng

doi:10.1007/s11042-014-2423-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-view multi-label learning for image annotation

Fuhao Zou Yu Liu Hua Wang Jingkuan Song Jie Shao Ke Zhou Sheng Zheng

Year: 2015 Journal: Multimedia Tools and Applications Vol: 75 (20)Pages: 12627-12644 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-014-2423-2

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Boosting (machine learning) Automatic image annotation Annotation Artificial intelligence Machine learning Support vector machine Ensemble learning Complementarity (molecular biology) Image (mathematics) Feature (linguistics) Image retrieval Pattern recognition (psychology)

Metrics

Cited By

0.63

FWCI (Field Weighted Citation Impact)

Refs

0.85

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

Multi-view multi-label learning for image annotation

Metrics

Citation History

Topics

Related Documents

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

Multi-view based multi-label propagation for image annotation

Image Annotation Using Multi-Label Learning

Label Correlation Guided Deep Multi-View Image Annotation

Multi‐instance multi‐label learning for surgical image annotation