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» The Bayesian Structural EM Algorithm
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UAI
2003
13 years 10 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ICPR
2000
IEEE
14 years 9 months ago
Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation
Distorted character recognition is a difficult but inevitable problem in hand-printed character recognition. In this paper, we propose a character recognition method using elastic...
Tsuyoshi Kato, Shinichiro Omachi, Hirotomo Aso
ESANN
2006
13 years 10 months ago
EM-algorithm for training of state-space models with application to time series prediction
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
Elia Liitiäinen, Nima Reyhani, Amaury Lendass...
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
13 years 10 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
BILDMED
2007
148views Algorithms» more  BILDMED 2007»
13 years 10 months ago
Bayesian Vessel Extraction for Planning of Radiofrequency-Ablation
The software-assisted planning of radiofrequency-ablation of liver tumors calls for robust and fast methods to segment the tumor and surrounding vascular structures from clinical d...
Stephan Zidowitz, Johann Drexl, Tim Kröger, T...