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CSFW
2004
IEEE
14 years 9 days ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
ICPR
2006
IEEE
14 years 9 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
NOMS
2010
IEEE
134views Communications» more  NOMS 2010»
13 years 7 months ago
Packet sampling for worm and botnet detection in TCP connections
—Malware and botnets pose a steady and growing threat to network security. Therefore, packet analysis systems examine network traffic to detect active botnets and spreading worm...
Lothar Braun, Gerhard Münz, Georg Carle
ICASSP
2009
IEEE
14 years 3 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin
CVPR
2008
IEEE
14 years 10 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen