This paper describes a fusion architecture and implementation for classifiers with binary as well: as continuous output. The fusion scheme is represented as a multi-layered architecture which structures the approach into pre-processing, analysis, and post-processing. All components are partitioned into layers where each layer performs logical tasks. In particular, the pre-processing component is partitioned into a temporal layer and a scaling layer. The analysis component is partitioned into strengthening and weakening layers. The post-processing component is structured into suppression and exception handling layers. Manipulations within these layers transform the binary classifier output as well as continuous output into a single continuous domain. Because the fusion architecture is designed in a modular fashion,. additional modules can be relatively easily. be added or removed. The modular design also allows re-use of the core fusion engine for other domains. We show results of this architecture applied to a system monitoring environment of industrial equipment.


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    Title :

    Fusing binary and continuous output of multiple classifiers


    Contributors:


    Publication date :

    2002-01-01


    Size :

    817483 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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