and Venkatesh, Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model, In IEEE Int. Conf on Multimedia (ACM-MM), Singapore, 6-11 Nov. and Venkatesh, *Topic Transition Detection Using Hierarchical Hidden Markov and Semi-Markov Models, In ACM Int. Other related papers (e.g., use this code for baseline comparison, etc) include: and Venkatesh, Efficient duration and hierarchical modeling for human activity recognition, Artificial Intelligence (AIJ), 173(7-8):830-856, 2009. and Venkatesh, S, Efficient Coxian Duration Modelling for Activity Recognition in Smart Environment with the Hidden semi-Markov Model, In Second International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, 5-6 December 2005.ĭuong, T., Phung, D., Bui, H. This package implements the Coxian Hidden Semi-Markov Models (CxHSMM) described in the following papers:ĭuong, T., Phung, D., Bui, H. CxHSMM - The Coxian Hidden Semi-Markov Models Source codes for the Coxian Hidden Semi-Markov Models (CxHSMM) Ĭopyright by Dinh Phung, Thi Duong and Hung Bui, 2005
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