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INTERSPEECH
2010
14 years 11 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
PERCOM
2006
ACM
15 years 10 months ago
Groupanizer: a Method to Correlate Multi-users Position with Daily Moments
Groupanizer is an extension of groupware and constitutes a development platform to integrate user-centric information for the benefit of groupware applications. User-centric conte...
Jean Olivier Caron, Yoshihiro Kawahara, Hiroyuki M...
ICCV
2005
IEEE
15 years 10 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
156
Voted
CVIU
2006
317views more  CVIU 2006»
15 years 4 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid