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SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 9 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 2 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
CVPR
2004
IEEE
14 years 9 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
13 years 5 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero
IJCAI
2007
13 years 9 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar