Towards population scale activity recognition: A framework for handling data diversity

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2012, Pages 851-857

  Abdullah, Saeed ^a   Lane, Nicholas D ^b   Choudhury, Tanzeem ^a  

^a Department of Obstetrics Gynecology   (United States)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CLASSIFICATION FRAMEWORK; DATA LABELS; END USERS; HUMAN ACTIVITIES; MULTI-INSTANCE LEARNING; NATURAL LANGUAGE PROCESSING; PERSONALIZED MODEL; POPULATION DIVERSITY; POPULATION SIZES; PUBLIC DATASET; SCALE AND SCOPE; TRAINING PROCESS;

ARTIFICIAL INTELLIGENCE; DATA HANDLING; NATURAL LANGUAGE PROCESSING SYSTEMS;

POPULATION STATISTICS;

EID: 84868279929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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