Object relevance weight pattern mining for activity recognition and segmentation

Pervasive and Mobile Computing

Volumn 6, Issue 1, 2010, Pages 43-57

  Palmes, Paulito ^a   Pung, Hung Keng ^b   Gu, Tao ^c   Xue, Wenwei ^d   Chen, Shaxun ^e  

^a NATIONAL NEUROSCIENCE INSTITUTE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^d NOKIA RESEARCH CENTER   (United States)

^e NANJING UNIVERSITY   (China)

Author keywords

Activity recognition and segmentation; Knowledge engineering; Relative term weighting; Web mining

Indexed keywords

DATA MINING; KNOWLEDGE ENGINEERING; UBIQUITOUS COMPUTING;

ACTIVITY RECOGNITION; ACTIVITY SEGMENTATION; LINEAR TIME COMPLEXITY; REAL WORLD DEPLOYMENT; SEQUENCE INFORMATIONS; SUPERVISED LEARNING APPROACHES; TERM WEIGHTING; WEB MINING;

PATTERN RECOGNITION;

EID: 75049085494     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2009.10.004     Document Type: Article

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