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RIVF
2007
15 years 7 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
CCIA
2009
Springer
15 years 6 months ago
Text Detection in Urban Scenes
Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are...
Sergio Escalera, Xavier Baró, Jordi Vitri&a...
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 5 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
165
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CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 5 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
IJNSEC
2007
119views more  IJNSEC 2007»
15 years 5 months ago
Evolutionary Design of Intrusion Detection Programs
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromis...
Ajith Abraham, Crina Grosan, Carlos Martín-...