StreamAR: Incremental and active learning with evolving sensory data for activity recognition

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 1, Issue , 2012, Pages 1163-1170

  Abdallah, Zahraa Said ^a,d   Gaber, Mohamed Medhat ^b   Srinivasan, Bala ^a   Krishnaswamy, Shonali ^c  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^d Ain Shams University   (Egypt)

Author keywords

activity recognition; sensory data; stream mining

Indexed keywords

ACTIVE LEARNING; ACTIVITY RECOGNITION; CLUSTER-BASED CLASSIFICATIONS; LEARNING METHODS; ROBUST CLASSIFICATION; SENSORY DATA; SIMILARITY MEASURE; STREAM MINING;

ARTIFICIAL INTELLIGENCE;

PATTERN RECOGNITION;

EID: 84876860179     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2012.169     Document Type: Conference Paper

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