Learning routines over long-term sensor data using topic models
Author:
Affiliation:
1. Deusto Institute of Technology; DeustoTech. University of Deusto; Spain
2. Stanford University; Stanford CA USA
3. Xetal NV and Ghent University; Belgium
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12033/fullpdf
Reference34 articles.
1. Asuncion , A. M. Welling P. Smyth Y.W. Teh 2009 On smoothing and inference for topic models in
2. A survey of context modelling and reasoning techniques;Bettini;Pervasive and Mobile Computing,2010
3. Latent dirichlet allocation;Blei;Journal of Machine Learning Research,2003
4. Castanedo , F. H. Aghajan R. Kleihorst 2011a Modeling and discovering occupancy patterns in sensor networks using latent dirichlet allocation Foundations on Natural and Artificial Computation(IWINAC'11)
5. Castanedo , F. D. López-de-Ipiña H. Aghajan R. Kleihorst 2011b Building an occupancy model from sensor networks in office environments 5th International ACM/IEEE Conference on Distributed Smart Cameras(ICDSC'11)
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