Features modeling with an a-stable distribution: Application to pattern recognition based on continuous belief functions
نویسندگان
چکیده
Article history: Received 28 August 2012 Received in revised form 4 February 2013 Accepted 8 February 2013 Available online 5 March 2013
منابع مشابه
Features modeling with an $α$-stable distribution: Application to pattern recognition based on continuous belief functions
The aim of this paper is to show the interest in fitting features with an α-stable distribution to classify imperfect data. The supervised pattern recognition is thus based on the theory of continuous belief functions, which is a way to consider imprecision and uncertainty of data. The distributions of features are supposed to be unimodal and estimated by a single Gaussian and α-stable model. E...
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تاریخ انتشار 2013