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» Boosting Object Detection Using Feature Selection
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ISMIS
2005
Springer
15 years 7 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
BMCBI
2008
128views more  BMCBI 2008»
15 years 2 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
GPEM
2007
119views more  GPEM 2007»
15 years 1 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
105
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ICCCN
2008
IEEE
15 years 8 months ago
Impairment-Aware Manycast Algorithms over Optical Burst-Switched Networks
— We discuss the effect of physical impairments on manycasting service over optical burst-switched (OBS) networks. Signal quality degradation in manycast networks is an important...
Balagangadhar G. Bathula, Rajesh R. C. Bikram, Vin...
APSCC
2008
IEEE
15 years 8 months ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...