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» Boosted Gabor Features Applied to Vehicle Detection
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AIPR
2003
IEEE
13 years 11 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
JMLR
2006
132views more  JMLR 2006»
13 years 7 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
ICONIP
2008
13 years 9 months ago
Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly
In this paper, we try to develop a machine learning-based virus email detection method. The key feature of this paper is employing Mail Header and Encoding Anomaly(MHEA) [1]. MHEA ...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ICDAR
2009
IEEE
14 years 2 months ago
Finding Images and Line-Drawings in Document-Scanning Systems
The system presented in this paper finds images and line-drawings in scanned pages; it is a crucial processing step in the creation of a large-scale system to detect and index ima...
Shumeet Baluja, Michele Covell
SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
14 years 1 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood