Boosted multi-class semi-supervised learning for human action recognition

Pattern Recognition

Volumn 44, Issue 10-11, 2011, Pages 2334-2342

  Zhang, Tianzhu ^a,b   Liu, Si ^a,b   Xu, Changsheng ^a,b   Lu, Hanqing ^a,b  

^a INSTITUTE OF AUTOMATION   (China)

^b China Singapore Institute of Digital Media   (Singapore)

Author keywords

Action recognition; adaBoost.MH; co EM; Semi supervised learning

Indexed keywords

ACTION MODELS; ACTION RECOGNITION; ADABOOST.MH; BACKGROUND CLUTTER; CO-EM; COMPUTATIONAL EXPENSE; DATA SETS; GAUSSIAN MIXTURE MODEL; HIGH-DIMENSIONAL FEATURE SPACE; HUMAN-ACTION RECOGNITION; INTRA-CLASS VARIATION; LABELED DATA; LOW-DIMENSIONAL SUBSPACE; MODEL CONSTRUCTION; MULTI-CLASS; MULTIPLE DISCRIMINANT ANALYSIS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SUBSPACE MODELS; TRAINING ERRORS; UNLABELED DATA; UPPER BOUND; UPPER ERROR BOUNDS;

DISCRIMINANT ANALYSIS; GESTURE RECOGNITION; MOTION ESTIMATION; OBJECT RECOGNITION; SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 79958826736     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.06.018     Document Type: Article

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