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» Detecting Anomalies and Intruders
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MICCAI
2003
Springer
16 years 23 days ago
Tissue-Based Affine Registration of Brain Images to form a Vascular Density Atlas
Anatomic tissue atlases of the brain are widely used within the medical world and are important for identifying tissue and structural aberrations and inconsistencies within an indi...
Derek Cool, Dini Chillet, Jisung Kim, Jean-Philipp...
SCIA
2007
Springer
118views Image Analysis» more  SCIA 2007»
15 years 6 months ago
Reconstruction of 3D Curves for Quality Control
In the area of quality control by vision, the reconstruction of 3D curves is a convenient tool to detect and quantify possible anomalies. Whereas other methods exist that allow us ...
Hanna Martinsson, François Gaspard, Adrien ...
FLAIRS
2004
15 years 1 months ago
Interactive Refinement of a Knowledge Base
This paper presents a new method of interactive refinement of a knowledge base. The first step of our method is a validation stage which checks the consistency and the completenes...
R. Djelouah, Béatrice Duval, Stéphan...
ICDCS
2006
IEEE
15 years 6 months ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen
RSFDGRC
2005
Springer
156views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
Intrusion Detection System Based on Multi-class SVM
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...
Hansung Lee, Jiyoung Song, Daihee Park