Unsupervised context detection using wireless signals

Unsupervised context detection using wireless signals

The sensing context plays an important role in many pervasive and mobile computingapplications. Continuing from previous work [D. Phung, B. Adams, S. Venkatesh,Computable social patterns from sparse sensor data, in: Proceedings of First InternationalWorkshop on Location Web, World Wide Web Conferenc...

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Bibliographic Details
Main Authors: Phung, Dinh, Adams, Brett, Venkatesh, Svetha, Kumar, Mohan
Format: Journal Article
Published: Elsevier Science publisher B.V.Amsterdam 2009
Subjects:
Context modeling - Spatio-temporal rhythm extraction - Probabilistic topic models - Hidden markov models - Unsupervised learning - Wireless signals
Online Access:http://dblp.uni-trier.de/db/journals/percom/percom5.html#PhungAVK09
http://hdl.handle.net/20.500.11937/7407

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http://dblp.uni-trier.de/db/journals/percom/percom5.html#PhungAVK09
http://hdl.handle.net/20.500.11937/7407

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