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» Learning Models for Object Recognition
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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 2 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 2 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
132
Voted
INFORMATICALT
2007
171views more  INFORMATICALT 2007»
15 years 1 months ago
E-Learning Documentation of Historical Living Systems with 3-D Modeling Functionality
The innovations and improvements in digital imaging sensors and scanners, computer modeling, haptic equipments and e-learning technology, as well as the availability of many powerf...
Athanasios D. Styliadis
132
Voted
PAMI
2006
243views more  PAMI 2006»
15 years 1 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers
ICC
2009
IEEE
150views Communications» more  ICC 2009»
15 years 8 months ago
Modeling Human Behavior for Defense Against Flash-Crowd Attacks
—Flash-crowd attacks are the most vicious form of distributed denial of service (DDoS). They flood the victim with service requests generated from numerous bots. Attack requests...
Georgios Oikonomou, Jelena Mirkovic