132 search results - page 14 / 27 » Anomaly detection in data represented as graphs |
ECCV
2008
Springer
13 years 9 months ago
2008
Springer
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
ICRA
2000
IEEE
13 years 12 months ago
2000
IEEE
Data association is the process of relating features observed in the environment to features viewed previously or to features in a map. Correct feature association is essential fo...
ISMIS
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
ASPLOS
2010
ACM
14 years 2 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...