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» Network-Based Intrusion Detection Using Adaboost Algorithm
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ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
AI
2008
Springer
14 years 1 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
INFOSCALE
2007
ACM
13 years 9 months ago
A dubiety-determining based model for database cumulated anomaly intrusion
— The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify da...
Gang Lu, Junkai Yi, Kevin Lü
ICPR
2010
IEEE
13 years 7 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
ECCV
2006
Springer
14 years 9 months ago
Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images
This paper presents a novel solution to the difficult task of both detecting and estimating the 3D pose of humans in monoscopic images. The approach consists of two parts. Firstly ...
Antonio S. Micilotta, Eng-Jon Ong, Richard Bowden