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» Optimizing Control Variate Estimators for Rendering
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WSC
2001
14 years 11 months ago
On improving the performance of simulation-based algorithms for average reward processes with application to network pricing
We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Enrique Campos-Náñez, Stephen D. Pat...
INFOCOM
2003
IEEE
15 years 2 months ago
Exploiting Multiuser Diversity for Medium Access Control in Wireless Networks
— Multiuser diversity refers to a type of diversity present across different users in a fading environment. This diversity can be exploited by scheduling transmissions so that us...
Xiangping Qin, Randall A. Berry
EUROGP
2009
Springer
105views Optimization» more  EUROGP 2009»
15 years 2 months ago
Quantum Circuit Synthesis with Adaptive Parameters Control
The contribution presented herein proposes an adaptive genetic algorithm applied to quantum logic circuit synthesis that, dynamically adjusts its control parameters. The adaptation...
Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mir...
IPSN
2004
Springer
15 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CGF
2000
127views more  CGF 2000»
14 years 9 months ago
Interactive High-Quality Maximum Intensity Projection
Maximum Intensity Projection (MIP) is a volume rendering technique which is used to visualize high-intensity structures within volumetric data. At each pixel the highest data valu...
Lukas Mroz, Helwig Hauser, Eduard Gröller