scholarly journals Internet-Wide Scanners Classification using Gaussian Mixture and Hidden Markov Models

Author(s):  
Giulia De Santis ◽  
Abdelkader Lahmadi ◽  
Jerome Francois ◽  
Olivier Festor
2007 ◽  
Vol 19 (4) ◽  
pp. 444-447 ◽  
Author(s):  
Yusuke Maeda ◽  
◽  
Tatsuya Ushioda ◽  

In modeling human movement using hidden Markov models (HMM), the “optimal” HMM with an appropriate number of states is determined based on the minimum description length (MDL) criterion. Human pivoting, typifying graspless manipulation, is modeled using Gaussian mixture HMMs. Analyzing the obtained HMMs using metric multidimensional scaling (MDS) showed the features of individual movement. Such dissimilarity analysis can be used to validate models of tacit skills in human manipulation.


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