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» A Bayesian Approach to Tackling Hard Computational Problems
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ICCV
2007
IEEE
16 years 1 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ECCV
2002
Springer
16 years 28 days ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
HRI
2007
ACM
15 years 2 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
SIGECOM
2010
ACM
173views ECommerce» more  SIGECOM 2010»
14 years 11 months ago
Approximating pure nash equilibrium in cut, party affiliation, and satisfiability games
Cut games and party affiliation games are well-known classes of potential games. Schaffer and Yannakakis showed that computing pure Nash equilibrium in these games is PLScomplete....
Anand Bhalgat, Tanmoy Chakraborty, Sanjeev Khanna
ICDE
2010
IEEE
434views Database» more  ICDE 2010»
15 years 8 months ago
Progressive Result Generation for Multi-Criteria Decision Support Queries
— Multi-criteria decision support (MCDS) is crucial in many business and web applications such as web searches, B2B portals and on-line commerce. Such MCDS applications need to r...
Elke A. Rundensteiner, Venkatesh Raghavan