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167
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CONEXT
2007
ACM
15 years 8 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
162
Voted
CAD
2008
Springer
15 years 6 months ago
Detecting approximate symmetries of discrete point subsets
Detecting approximate symmetries of parts of a model is important when attempting to determine the geometric design intent of approximate boundary-representation (B-rep) solid mod...
Ming Li, Frank C. Langbein, Ralph R. Martin
MTA
2008
179views more  MTA 2008»
15 years 6 months ago
Explicit semantic events detection and development of realistic applications for broadcasting baseball videos
This paper presents a framework that explicitly detects events in broadcasting baseball videos and facilitates the development of many practical applications. Three phases of contr...
Wei-Ta Chu, Ja-Ling Wu
EWC
2007
102views more  EWC 2007»
15 years 6 months ago
Interactive collision detection in three-dimensional visualizations of simulated construction operations
This paper presents research that led to the design and implementation of fast and interactive collision detection methods that can be used to identify and report undesirable conï¬...
Vineet R. Kamat, Julio C. Martínez
156
Voted
CLEF
2010
Springer
15 years 7 months ago
A Cluster-Based Plagiarism Detection Method - Lab Report for PAN at CLEF 2010
In this paper we describe a cluster-based plagiarism detection method, which we have used in the learning management system of SCUT to detect plagiarism in the network engineering ...
Du Zou, Wei-jiang Long, Zhang Ling