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ICML
2008
IEEE
14 years 5 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 6 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
ICIAP
2003
ACM
14 years 5 months ago
Using hidden Markov models and wavelets for face recognition
Manuele Bicego, Umberto Castellani, Vittorio Murin...
ANSS
2006
IEEE
13 years 11 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...