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» Thresholding for Change Detection
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139
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JIFS
2007
82views more  JIFS 2007»
15 years 3 months ago
Anomaly detection in mobile communication networks using the self-organizing map
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
126
Voted
IEEEIAS
2009
IEEE
15 years 1 months ago
Detection of Abnormal Sound Using Multi-stage GMM for Surveillance Microphone
We developed a system that detects abnormal sound from sound signal observed by a surveillance microphone. Our system learns the "normal sound" from observation of the m...
Akinori Ito, Akihito Aiba, Masashi Ito, Shozo Maki...
167
Voted
CIKM
2011
Springer
14 years 3 months ago
Detecting anomalies in graphs with numeric labels
This paper presents Yagada, an algorithm to search labelled graphs for anomalies using both structural data and numeric attributes. Yagada is explained using several security-rela...
Michael Davis, Weiru Liu, Paul Miller, George Redp...

Publication
303views
17 years 3 months ago
Automatic Ascending Aorta Detection in CTA Datasets
The assessment of coronary arteries is an essential step when diagnosing coronary heart diseases. There exists a wide range of specialized algorithms for the segmentation of the co...
Stefan C. Saur, Caroline Kühnel, Tobias Boska...
132
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ICIP
2002
IEEE
16 years 5 months ago
Automatic red-eye detection and correction
"Red-eye" is a phenomenon that causes the eyes of flash photography subjects to appear unnaturally reddish in color. Though commercial solutions exist for red-eye correc...
Matthew Gaubatz, Robert Ulichney