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155
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CVPR
2003
IEEE
16 years 6 months ago
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
ICDAR
2009
IEEE
15 years 2 months ago
HMM-Based Online Recognition of Handwritten Chemical Symbols
In this paper, we present an online handwritten recognition method for Chemical Symbols, a widely used symbol in education and academic interactions. This method is based on Hidde...
Yang Zhang, Guangshun Shi, Jufeng Yang
154
Voted
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 11 months ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic
IDEAL
2004
Springer
15 years 10 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 ...
ICASSP
2011
IEEE
14 years 8 months ago
EM-style optimization of hidden conditional random fields for grapheme-to-phoneme conversion
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ï...
Georg Heigold, Stefan Hahn, Patrick Lehnen, Herman...