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IGPL
2011
15 years 1 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
IJNSEC
2010
141views more  IJNSEC 2010»
15 years 1 months ago
Protection of an Intrusion Detection Engine with Watermarking in Ad Hoc Networks
In this paper we present an intrusion detection engine comprised of two main elements; firstly, a neural network for the actual detection task and secondly watermarking techniques...
Aikaterini Mitrokotsa, Nikos Komninos, Christos Do...
PIMRC
2008
IEEE
16 years 28 days ago
Throughput optimization for multipath unicast routing under probabilistic jamming
Abstract—We present a framework for throughput optimization for multipath unicast routing in wireless networks in the presence of probabilistic jamming. The framework introduces ...
Patrick Tague, Sidharth Nabar, James A. Ritcey, Da...
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
16 years 26 days ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
KIVS
2005
Springer
16 years 1 days ago
A Case for Lightweight SuperPeer Topologies
: The usage of SuperPeers has been proposed to improve the performance of both Structured and Unstructured Peer-to-Peer (P2P) networks. In this paper we explore a network-aware cla...
Michael Kleis, Eng Keong Lua, Xiaoming Zhou