Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
A high percentage of false positives remains a problem in current network security detection systems. With the growing reliance of industry on computer networks, and the growing v...
In this paper we present a storage based intrusion detection system (IDS) which uses time and space efficient point-intime copy and performs file system integrity checks to detec...
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...