113 search results - page 5 / 23 » Hidden Markov Model} Induction by Bayesian Model Merging |
EMMCVPR
2001
Springer
15 years 2 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
TSMC
2008
14 years 9 months ago
2008
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
IDEAL
2004
Springer
15 years 2 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
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CVPR
2012
IEEE
13 years 6 hour ago
2012
IEEE
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
UAI
2003
14 years 11 months ago
2003
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...