Sciweavers

98 search results - page 4 / 20
» Anomaly detection by finding feature distribution outliers
Sort
View
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 6 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
BTW
2009
Springer
127views Database» more  BTW 2009»
14 years 11 days ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...
CISS
2008
IEEE
14 years 7 days ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 3 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ISBI
2008
IEEE
14 years 6 months ago
Distributed online anomaly detection in high-content screening
This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive be...
Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei...