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» Isolated Features Detection in Feature Models
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112
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CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 25 days ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
119
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KAIS
2007
120views more  KAIS 2007»
15 years 18 days ago
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David W...
130
Voted
CVPR
2009
IEEE
16 years 7 months ago
Shape Band: A Deformable Object Detection Approach
In this paper, we focus on the problem of detecting/ matching a query object in a given image. We propose a new algorithm, shape band, which models an object within a bandwidth ...
Xiang Bai (Huazhong University of Science and Tec...
79
Voted
ICIP
2007
IEEE
16 years 2 months ago
Skeleton-Based Tornado Hook Echo Detection
We propose and evaluate a method to identify tornadoes automatically in Doppler radar imagery by detecting hook echoes, which are important signatures of tornadoes, in Doppler rad...
Hongkai Wang, Robert E. Mercer, John L. Barron, Pa...
ECCV
2004
Springer
16 years 1 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...