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CVPR
2010
IEEE
13 years 8 months ago
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable f...
Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno V...
ISI
2008
Springer
13 years 7 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen
NIPS
2004
13 years 9 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
GLOBECOM
2006
IEEE
14 years 1 months ago
Wavelet-based Detection of DoS Attacks
— Automated detection of anomalies in network traffic is an important and challenging task. In this work we propose an automated system to detect volume-based anomalies in netwo...
Alberto Dainotti, Antonio Pescapè, Giorgio ...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 1 months 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