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» Benchmarking Anomaly-Based Detection Systems
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CVPR
2012
IEEE
11 years 8 months ago
Are we ready for autonomous driving? The KITTI vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...
Andreas Geiger, Philip Lenz, Raquel Urtasun
MINENET
2005
ACM
13 years 11 months ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
MICAI
2007
Springer
14 years 4 days ago
VisualBlock-FIR for Fault Detection and Identification: Application to the DAMADICS Benchmark Problem
This paper describes a fault diagnosis system (FDS) for non-linear plants based on fuzzy logic. The proposed scheme, named VisualBlock-FIR, runs under the Simulink framework and en...
Antoni Escobet, Àngela Nebot, Franço...
IWIA
2003
IEEE
13 years 11 months ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
CVPR
2009
IEEE
15 years 1 months ago
Pedestrian Detection: A Benchmark
Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the progress of the past few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...