Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels

Weijieying Ren; Lei Zhang; Bo Jiang; Zhefeng Wang; Guangming Guo; Guiquan Liu

doi:10.1007/978-3-319-63558-3_46

ScienceGate Book Chapters

BOOK-CHAPTER

Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels

Weijieying Ren Lei Zhang Bo Jiang Zhefeng Wang Guangming Guo Guiquan Liu

Year: 2017 Lecture notes in computer science Pages: 543-551 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-63558-3_46

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Robustness (evolution) Exploit Artificial intelligence Multi-label classification Regularization (linguistics) Pattern recognition (psychology) Matrix completion Set (abstract data type) Machine learning Data mining

Metrics

Cited By

0.57

FWCI (Field Weighted Citation Impact)

Refs

0.67

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

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels

Metrics

Citation History

Topics

Related Documents

Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning

Multi-label Learning with Missing Labels

Learning Label-Specific Features for Multi-Label Classification with Missing Labels

Online Multi-Label Classification with Scalable Margin Robust to Missing Labels

Robust Multi-label Feature Selection with Missing Labels