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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 9 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...
IJCAI
1997
15 years 5 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
BMCBI
2008
87views more  BMCBI 2008»
15 years 4 months ago
Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfa
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Salim Bougouffa, Jim Warwicker
ITIIS
2010
172views more  ITIIS 2010»
15 years 2 months ago
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...
Ruoyu Yan, Qinghua Zheng, Haifei Li
SAC
2010
ACM
14 years 11 months ago
Inter-DSL coordination support by combining megamodeling and model weaving
Model-Driven Engineering (MDE) advocates the use of models at every step of the software development process. Within this context, a team of engineers collectively and collaborati...
Frédéric Jouault, Bert Vanhooff, Hug...