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» Learning Patterns of Activity Using Real-Time Tracking
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NDSS
2000
IEEE
14 years 1 days ago
A Lightweight Tool for Detecting Web Server Attacks
We present an intrusion-detection tool aimed at protecting web servers, and justify why such a tool is needed. We describe several interesting features, such as the ability to run...
Magnus Almgren, Hervé Debar, Marc Dacier
ICDCS
1999
IEEE
13 years 12 months ago
Active Correlation Tracking
We describe methods of identifying and exploiting sharing patterns in multi-threaded DSM applications. Active correlation tracking is used to determine the affinity, or amount of ...
Kritchalach Thitikamol, Peter J. Keleher
PAMI
2010
273views more  PAMI 2010»
13 years 2 months ago
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
CONEXT
2007
ACM
13 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
HUC
2010
Springer
13 years 7 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...