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» Improving Offensive Performance Through Opponent Modeling
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HPCA
1999
IEEE
14 years 1 days ago
Limits to the Performance of Software Shared Memory: A Layered Approach
Much research has been done in fast communication on clusters and in protocols for supporting software shared memory across them. However, the end performance of applications that...
Angelos Bilas, Dongming Jiang, Yuanyuan Zhou, Jasw...
MICCAI
2010
Springer
13 years 6 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
IPPS
2005
IEEE
14 years 1 months ago
MegaProto: A Low-Power and Compact Cluster for High-Performance Computing
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
Hiroshi Nakashima, Hiroshi Nakamura, Mitsuhisa Sat...
TCOM
2008
126views more  TCOM 2008»
13 years 7 months ago
Distributed measurements for estimating and updating cellular system performance
We investigate the use of distributed measurements for estimating and updating the performance of a cellular system. Specifically, we discuss the number and placement of sensors in...
Liang Xiao, Larry J. Greenstein, Narayan B. Manday...
ICCV
2005
IEEE
14 years 9 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona