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CEC
2008
IEEE
14 years 3 months ago
An approach to intrusion detection by means of idiotypic networks paradigm
Abstract— In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDIS), that aims at dealing with large scale network attacks feat...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
IPPS
2008
IEEE
14 years 3 months ago
Adaptive and dynamic intrusion detection by means of idiotypic networks paradigm
—In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring vari...
Marek Ostaszewski, Pascal Bouvry, Franciszek Sered...
DAGM
2008
Springer
13 years 11 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
ICCV
2009
IEEE
13 years 6 months ago
Incremental action recognition using feature-tree
Action recognition methods suffer from many drawbacks in practice, which include (1)the inability to cope with incremental recognition problems; (2)the requirement of an intensive...
Kishore K. Reddy, Jingen Liu, Mubarak Shah
CVPR
2008
IEEE
14 years 11 months ago
A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Tamir Hazan, Amit Man, Amnon Shashua