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ICMI
2000
Springer
138views Biometrics» more  ICMI 2000»
13 years 8 months ago
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks
Inferring users' actions and intentions forms an integral part of design and development of any human-computer interface. The presence of noisy and at times ambiguous sensory ...
Vladimir Pavlovic, Ashutosh Garg, James M. Rehg
CVPR
2000
IEEE
14 years 6 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...
ICPR
2002
IEEE
14 years 5 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
FGR
2000
IEEE
147views Biometrics» more  FGR 2000»
13 years 8 months ago
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks
Ashutosh Garg, Vladimir Pavlovic, James M. Rehg
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
13 years 9 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock