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ICMI
2000
Springer
138views Biometrics» more  ICMI 2000»
14 years 1 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
ICARCV
2006
IEEE
159views Robotics» more  ICARCV 2006»
14 years 3 months ago
A Framework for Tracking Moving Target in a Heterogeneous Camera Suite
— This paper presents a novel approach for tracking a moving target of interest across a large-scale distributed camera system where some of the cameras are mobile. The growing t...
Nan Ning, Tele Tan
IJCAI
2003
13 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
CVPR
2000
IEEE
14 years 12 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
CVPR
2010
IEEE
13 years 10 months ago
Boosting for transfer learning with multiple sources
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
Yi Yao, Gianfranco Doretto