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» A Bayesian Model of Conditioned Perception
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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
14 years 1 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
IJRR
2006
183views more  IJRR 2006»
13 years 7 months ago
Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application
Reliable and efficient perception and reasoning in dynamic and densely cluttered environments are still major challenges for driver assistance systems. Most of today's system...
Christophe Coué, Cédric Pradalier, C...
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
13 years 12 months ago
A Probabilistic Sensor for the Perception of Activities
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...
Olivier Chomat, James L. Crowley
IROS
2008
IEEE
161views Robotics» more  IROS 2008»
14 years 1 months ago
A perception mechanism for supporting autonomous intersection handling in urban driving
Abstract— Knowledge of the driving environment is essential for robotic vehicles to comply with traffic rules while autonomously traversing intersections. However, due to limite...
Young-Woo Seo, Chris Urmson
FUZZIEEE
2007
IEEE
14 years 1 months ago
Learning Undirected Possibilistic Networks with Conditional Independence Tests
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Christian Borgelt