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ICEIS
2008
IEEE
14 years 3 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya
INFFUS
2002
162views more  INFFUS 2002»
13 years 8 months ago
Fusion of multiple classifiers
The security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software tools have be...
Fabio Roli, Josef Kittler
SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 2 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
CIARP
2006
Springer
14 years 9 days ago
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures
The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiog...
Y. Santiesteban, J. M. Sanchiz, José Mart&i...