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» Implementing the maximum of monotone algorithms
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ICCAD
2004
IEEE
180views Hardware» more  ICCAD 2004»
15 years 6 months ago
Physical placement driven by sequential timing analysis
Traditional timing-driven placement considers only combinational delays and does not take into account the potential of subsequent sequential optimization steps. As a result, the ...
Aaron P. Hurst, Philip Chong, Andreas Kuehlmann
3DPVT
2006
IEEE
185views Visualization» more  3DPVT 2006»
15 years 4 months ago
A Probabilistic Method for Aligning and Merging Range Images with Anisotropic Error Distribution
This paper describes a probabilistic method of aligning and merging range images. We formulate these issues as problems of estimating the maximum likelihood. By examining the erro...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi
SRDS
1999
IEEE
15 years 2 months ago
An Adaptive Checkpointing Protocol to Bound Recovery Time with Message Logging
Numerous mathematical approaches have been proposed to determine the optimal checkpoint interval for minimizing total execution time of an application in the presence of failures....
Kuo-Feng Ssu, Bin Yao, W. Kent Fuchs
VG
2003
14 years 11 months ago
Rapid Emission Tomography Reconstruction
We present new implementations of the Maximum Likelihood Expectation Maximization (EM) algorithm and the related Ordered Subset EM (OSEM) algorithm. Our implementation is based on...
Ken Chidlow, Torsten Möller
ESA
2006
Springer
96views Algorithms» more  ESA 2006»
15 years 1 months ago
Finite Termination of "Augmenting Path" Algorithms in the Presence of Irrational Problem Data
This paper considers two similar graph algorithms that work by repeatedly increasing "flow" along "augmenting paths": the Ford-Fulkerson algorithm for the maxi...
Brian C. Dean, Michel X. Goemans, Nicole Immorlica