Sensitivity of the Elucidative Fusion System to the Choice of the Underlying Similarity Metric

نویسنده

  • Belur V. Dasarathy
چکیده

In a recent study, a new concept, namely elucidative fusion systems, was proposed and demonstrated using case based reasoning as the fusion tool. Elucidative fusion systems are designed to offer not only optimally fused decisions but also elucidate the relative contributions made by the different data sources (sensors) to the fused decisions. In the earlier study, the concept was illustrated using the classical Euclidean metric for measuring the dissimilarity of cases under the case based reasoning model chosen for the fusion process. In this study, multiple metrics are tested and evaluated to determine the sensitivity of the elucidation process to the choice of the underlying metric. Euclidean and two other metrics, all of which are special cases of the general Minkowski distance metric, are chosen for this purpose. An audio-visual system for the recognition of spoken French vowels is again used as the example for illustration of the associated concepts and analysis.

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تاریخ انتشار 2010