1216 search results - page 20 / 244 » Anomaly Detection Using an Ensemble of Feature Models |
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
CHI
2009
ACM
14 years 8 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
DCOSS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
ICTAI
2007
IEEE
14 years 1 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...