A semi-supervised learning approach for robust indoor-outdoor detection with smartphones

SenSys 2014 - Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2014, Pages 280-294

  Radu, Valentin ^a   Katsikouli, Panagiota ^a   Sarkar, Rik ^a   Marina, Mahesh K ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Co training; Context detection; Mobile sensing; Semi supervised learning

Indexed keywords

EMBEDDED SYSTEMS; ENERGY EFFICIENCY; LEARNING SYSTEMS; SMARTPHONES;

CO-TRAINING; COMPUTATIONAL COSTS; CONTEXT DETECTION; DETECTION ACCURACY; ENVIRONMENTAL CONTEXTS; LIGHTWEIGHT SENSORS; MOBILE SENSING; SEMI-SUPERVISED LEARNING METHODS;

SEMI-SUPERVISED LEARNING;

EID: 84914104705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2668332.2668347     Document Type: Conference Paper

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