Various Approaches to Multi-Channel Information Fusion in C-OTDR Systems
نویسندگان
چکیده
The paper presents new results concerning selection of optimal information fusion formula for ensembles of monitoring system channels. The goal of information fusion is to create an integral classificator designed for effective classification of targeted events, which appear in the vicinity of monitored object. The LPBoost (LP-β and LP-B variants), the Multiple Kernel Learning, and Weighing of Inversely as Lipschitz Constants (WILC) approaches were compared. The WILC is a brand new approach to optimal fusion of Lipschitz Classifiers Ensembles. Results of practical usage are presented.
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Multi-Channel Information Fusion in C-OTDR Monitoring Systems: Various Approaches to Classify of Targeted Events
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تاریخ انتشار 2015