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» Network-Based Intrusion Detection Using Adaboost Algorithm
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VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 7 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ICIP
2006
IEEE
14 years 9 months ago
A Boosted Adaptive Particle Filter for Face Detection and Tracking
A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis ...
Wenlong Zheng, Suchendra M. Bhandarkar
IROS
2007
IEEE
137views Robotics» more  IROS 2007»
14 years 1 months ago
Part based people detection using 2D range data and images
Abstract— This paper addresses the problem of people detection using 2D range data and omnidirectional vision. The range data is often used in robotics to detect person legs. Fir...
Zoran Zivkovic, Ben J. A. Kröse
ICIP
2007
IEEE
13 years 11 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
IWIA
2003
IEEE
14 years 23 days ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...