Harnessing lab knowledge for real-world action recognition

International Journal of Computer Vision

Volumn 109, Issue 1-2, 2014, Pages 60-73

  Ma, Zhigang ^a   Yang, Yi ^b   Nie, Feiping ^c   Sebe, Nicu ^d   Yan, Shuicheng ^e   Hauptmann, Alexander G ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^d UNIVERSITY OF TRENTO   (Italy)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Action recognition; General Schatten p norm; Lab to real world; Transfer learning

Indexed keywords

CLASSIFIERS; GESTURE RECOGNITION; KNOWLEDGE MANAGEMENT; LABORATORIES; MOTION ESTIMATION;

ACTION RECOGNITION; GENERAL SCHATTEN-P NORM; HUMAN-ACTION RECOGNITION; MULTITASK LEARNING; PERFORMANCE GAIN; REAL-WORLD; REAL-WORLD DATASETS; TRANSFER LEARNING;

DATA PROCESSING;

EID: 84902258204     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-014-0717-5     Document Type: Article

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