Three Techniques for State Order Estimation of Hidden Markov Models
1995 (English)Report (Other academic)
In this contribution three examples of techniques that can be used for state order estimation of hidden Markov models are given The methods are also exem plied using real laser range data and the computa tional burden of the three methods is discussed Two techniques Maximum Description Length and Maximum a Posteriori Estimate are shown to be very sim ilar under certain circumstances The third technique Predictive Least Squares is novel in this context
Place, publisher, year, edition, pages
Linköping: Linköping University , 1995. , 5 p.
LiTH-ISY-R, ISSN 1400-3902 ; 1703
Hidden Markov models, Image processing, Laser ranging, State estimation, Prediction theory, Least squares approximation
IdentifiersURN: urn:nbn:se:liu:diva-55153ISRN: LiTH-ISY-R-1703OAI: oai:DiVA.org:liu-55153DiVA: diva2:315734