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KI
2007
Springer
13 years 9 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 2 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
JNCA
2007
179views more  JNCA 2007»
13 years 9 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
ICIP
2010
IEEE
13 years 7 months ago
Natural DCT statistics approach to no-reference image quality assessment
General-purpose no-reference image quality assessment approaches still lag the advances in full-reference methods. Most no-reference methods are either distortion specific (i.e. t...
Michele A. Saad, Alan C. Bovik, Christophe Charrie...
ICML
2008
IEEE
14 years 10 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar