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» Stochastic MINLP optimization using simplicial approximation
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IAT
2005
IEEE
14 years 2 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
EGH
2010
Springer
13 years 6 months ago
Hardware implementation of micropolygon rasterization with motion and defocus blur
Current GPUs rasterize micropolygons (polygons approximately one pixel in size) inefficiently. Additionally, they do not natively support triangle rasterization with jittered samp...
J. S. Brunhaver, Kayvon Fatahalian, Pat Hanrahan
LICS
2007
IEEE
14 years 3 months ago
Limits of Multi-Discounted Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Hugo Gimbert, Wieslaw Zielonka
INFOCOM
2005
IEEE
14 years 2 months ago
Spatial energy balancing in large-scale wireless multihop networks
— In this paper we investigate the use of proactive multipath routing to achieve energy efficient operation of ad hoc wireless networks. The focus is on optimizing trade-offs be...
Seung Jun Baek, Gustavo de Veciana
CSDA
2006
84views more  CSDA 2006»
13 years 8 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans