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.
Fusing binary and continuous output of multiple classifiers
01.01.2002
817483 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Fusing Binary and Continuous Output of Multiple Classifiers
British Library Conference Proceedings | 2002
|Fusing and filtering arrogant classifiers
IEEE | 2002
|Fusing and Filtering Arrogant Classifiers
British Library Conference Proceedings | 2002
|Enhanced traffic detection by fusing multiple sensor data
Europäisches Patentamt | 2019
|Fusing multiple reprocessing of signal data [2059-32]
British Library Conference Proceedings | 1993
|