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194
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CEC
2007
IEEE
16 years 1 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
213
Voted
ICCV
2007
IEEE
16 years 1 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
178
Voted
IMSCCS
2007
IEEE
16 years 1 months ago
An Innovative Simulation Approach for Water Mediated Attraction Based on Grid Computing
In order to investigate the behavior of the solvation, particularly, to quantify the solvent effects on the properties of solutes on a molecular basis, several simulation approach...
Zhifeng Yun, Samuel J. Keasler, Maoyuan Xie, Zhou ...
175
Voted
MDM
2007
Springer
148views Communications» more  MDM 2007»
16 years 1 months ago
Enforcing Data Integrity in Very Large Ad Hoc Networks
Ad hoc networks rely on nodes forwarding each other’s packets, making trust and cooperation key issues for ensuring network performance. As long as all nodes in the network belo...
Daniela Gavidia, Maarten van Steen
174
Voted
FOCS
2006
IEEE
16 years 28 days ago
Better lossless condensers through derandomized curve samplers
Lossless condensers are unbalanced expander graphs, with expansion close to optimal. Equivalently, they may be viewed as functions that use a short random seed to map a source on ...
Amnon Ta-Shma, Christopher Umans