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CEC
2010
IEEE
13 years 9 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
CVPR
2000
IEEE
15 years 2 days ago
On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption
While several image-based rendering techniques have been proposed to successfully render scenes/objects from a large collection (e.g., thousands) of images without explicitly reco...
Zhouchen Lin, Heung-Yeung Shum
AIPS
2000
13 years 11 months ago
On-line Scheduling via Sampling
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
MSS
1999
IEEE
111views Hardware» more  MSS 1999»
14 years 2 months ago
Massive-Scale Data Management using Standards-Based Solutions
In common with many large institutes, CERN has traditionally developed and maintained its own data management solutions. Recently, a significant change of direction has taken plac...
Jamie Shiers
TON
2008
139views more  TON 2008»
13 years 10 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli