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» Hierarchical Non-Emitting Markov Models
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IVC
2002
148views more  IVC 2002»
13 years 8 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
IDEAL
2004
Springer
14 years 1 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
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...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
ML
2006
ACM
187views Machine Learning» more  ML 2006»
13 years 8 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
Graham Grindlay, David P. Helmbold
ICRA
2006
IEEE
202views Robotics» more  ICRA 2006»
14 years 2 months ago
Primitive Communication based on Motion Recognition and Generation with Hierarchical Mimesis Model
— Communication skill is essential for social robots in various environments such as homes, offices, and hospitals, where the robots are expected to interact with humans. In thi...
Wataru Takano, Katsu Yamane, Tomomichi Sugihara, K...
IJCAI
2003
13 years 10 months ago
Imitation Learning of Team-play in Multiagent System based on Hidden Markov Modeling
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
Itsuki Noda