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ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
KDD
2009
ACM
151views Data Mining» more  KDD 2009»
14 years 8 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 27 days ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
WISEC
2010
ACM
14 years 2 months ago
pBMDS: a behavior-based malware detection system for cellphone devices
Computing environments on cellphones, especially smartphones, are becoming more open and general-purpose, thus they also become attractive targets of malware. Cellphone malware no...
Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Senc...
ISSTA
2009
ACM
14 years 1 months ago
AVA: automated interpretation of dynamically detected anomalies
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
Anton Babenko, Leonardo Mariani, Fabrizio Pastore