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GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 8 months ago
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Sergio Ivvan Valdez Peña, Arturo Hern&aacut...
ECCV
2008
Springer
14 years 9 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
JMIV
2008
214views more  JMIV 2008»
13 years 7 months ago
A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays
Tomography is a powerful technique to obtain accurate images of the interior of an object in a nondestructive way. Conventional reconstruction algorithms, such as filtered backproj...
Kees Joost Batenburg
MCS
2009
Springer
14 years 3 days ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
CONEXT
2008
ACM
13 years 9 months ago
High performance traffic shaping for DDoS mitigation
Distributed Denial of Service (DDoS) attack mitigation systems usually generate a list of filter rules in order to block malicious traffic. In contrast to this binary decision we ...
Markus Goldstein, Matthias Reif, Armin Stahl, Thom...