Semi-supervised Domain Adaptation with Subspace Learning for visual recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 2142-2150

  Yao, Ting ^a   Pan, Yingwei ^b   Ngo, Chong Wah ^c   Li, Houqiang ^b   Mei, Tao ^a  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; OBJECT RECOGNITION;

CLASSIFICATION ERRORS; CROSS-DOMAIN LEARNING; DOMAIN ADAPTATION; IMAGE OBJECT RECOGNITION; LOW DIMENSIONAL STRUCTURE; SUBSPACE LEARNING; VIDEO CONCEPT DETECTION; VISUAL RECOGNITION;

PATTERN RECOGNITION;

EID: 84959208821     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298826     Document Type: Conference Paper

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