Bernard Dubuisson

Learn More
This paper introduces a pattern recognition method specially dedicated to the detection and isolation of after-sale failures on an automotive vehicle. This method is well suited to deal with binary data. It is based on the similarity between an input pattern and some reference patterns characteristic of each failure class. The initial space representation(More)
This paper introduces statistical pattern recognition techniques, applied to the monitoring of dynamic systems. Usually, distance rejection options enable to deal with incomplete knowledge about classes. A new technique, which extends the possibilities of distance rejection, is presented in order to detect partially unknown classes. These techniques have(More)