On minimum distribution discrepancy support vector machine for domain adaptation

Pattern Recognition

Volumn 45, Issue 11, 2012, Pages 3962-3984

  Tao, Jianwen ^a   Chung, Fu Lai ^b   Wang, Shitong ^a,b  

^a JIANGNAN UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Domain adaptation learning; Maximum mean discrepancy; Maximum scatter discrepancy; Pattern classification; Support vector machine

Indexed keywords

DOMAIN ADAPTATION; DOMAIN DISTRIBUTION; GENERALIZATION CAPABILITY; LEAST SQUARES; MAXIMUM MEAN DISCREPANCY; MAXIMUM SCATTER DISCREPANCY; NOVEL DOMAIN; PATTERN CLASSIFICATION PROBLEMS; PRIOR INFORMATION; REAL-WORLD PROBLEM; REPRODUCING KERNEL HILBERT SPACES; TARGET DOMAIN; TESTING DATA; TRAINING DATA;

BENCHMARKING; PATTERN RECOGNITION;

SUPPORT VECTOR MACHINES;

EID: 84862210850     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.04.014     Document Type: Article

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