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ICASSP
2011
IEEE
14 years 8 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
ICPR
2010
IEEE
15 years 11 months ago
Integrating a Discrete Motion Model into GMM Based Background Subtraction
GMM based algorithms have become the de facto standard for background subtraction in video sequences, mainly because of their ability to track multiple background distributions, w...
Christian Wolf, Jolion Jolion
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
15 years 11 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
15 years 10 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
15 years 10 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox