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» Using Gaussian Processes to Optimize Expensive Functions
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
SIGSOFT
2010
ACM
13 years 8 months ago
Scalable SMT-based verification of GPU kernel functions
Interest in Graphical Processing Units (GPUs) is skyrocketing due to their potential to yield spectacular performance on many important computing applications. Unfortunately, writ...
Guodong Li, Ganesh Gopalakrishnan
DIGITALCITIES
2003
Springer
14 years 3 months ago
Map-Based Range Query Processing for Geographic Web Search Systems
In order to utilize geographic web information for digital city applications, we have been developing a geographic web search system, KyotoSEARCH. When users retrieve geographic in...
Ryong Lee, H. Shiina, Taro Tezuka, Yusuke Yokota, ...
ICASSP
2011
IEEE
13 years 2 months ago
Stochastic optimization based on the Laplace transform order with applications to precoder designs
Stochastic optimization arising from precoding in a multi-antenna fading channel with channel mean feedback to maximize data rates is important but challenging. The use of relayin...
Minhua Ding, Keith Q. T. Zhang
PIMRC
2008
IEEE
14 years 4 months ago
Information theory vs. queueing theory for resource allocation in multiple access channels
— We consider the problem of rate allocation in a fading Gaussian multiple-access channel with fixed transmission powers. The goal is to maximize a general concave utility funct...
Ali ParandehGheibi, Muriel Médard, Asuman E...