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UAI
2008
14 years 11 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
ISAAC
2004
Springer
102views Algorithms» more  ISAAC 2004»
15 years 3 months ago
On-Line Windows Scheduling of Temporary Items
In this paper we study on-line windows scheduling (WS) of temporary items. In a broadcasting system, there are some broadcast channels, each can broadcast one item in one time unit...
Wun-Tat Chan, Prudence W. H. Wong
ICASSP
2011
IEEE
14 years 1 months ago
Adaptive appearance learning for visual object tracking
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
Zulfiqar Hassan Khan, Irene Yu-Hua Gu
ICML
2009
IEEE
15 years 10 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...