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ICCV
2005
IEEE
15 years 9 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
WISA
2004
Springer
15 years 8 months ago
A Probabilistic Method for Detecting Anomalous Program Behavior
In this paper, we, as well as Eskin, Lee, Stolfo [7] propose a method of prediction model. In their method, the program was characterized with both the order and the kind of system...
Kohei Tatara, Toshihiro Tabata, Kouichi Sakurai
CLEF
2010
Springer
15 years 4 months ago
External Plagiarism Detection: N-Gram Approach Using Named Entity Recognizer - Lab Report for PAN at CLEF 2010
We tried Named Entity features of source documents to identify its suspicious counter part. A three stage identification method was adopted to understand the impact of NEs in plagi...
Parth Gupta, Sameer Rao, Prasenjit Majumder
ACMSE
2005
ACM
15 years 9 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
TSMC
2008
172views more  TSMC 2008»
15 years 3 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank