Synthesis of nonparametric algorithms of recognition of the images set by complex reference descriptions, on the basis of approximation of the statistical average functions of plausibility by ranges Smirnov
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Description: The method of synthesis of nonparametric algorithms of recognition of the images set by complex reference descriptions as sets of reference intervals and (or) discrete values of attributes is developed. Training of algorithm is based on reception of polygonal estimations of the statistical average functions of plausibility on Smirnov
Reference:
Pevtsov, G.V., Russkikh, V.L. and Lupandin, V.A. (2003), “Sintez neparametricheskikh algoritmov raspoznavaniia obrazov, zadannykh slozhnymi etalonnymi opisaniiami, na osnove approksimatsii staticheskikh usrednennykh funktsii pravdopodobiia poligonami Smirnova”, Information Processing Systems, Vol. 5(27), pp. 28-33.
Pevtsov, G.V., Russkikh, V.L. and Lupandin, V.A. (2003), “Sintez neparametricheskikh algoritmov raspoznavaniia obrazov, zadannykh slozhnymi etalonnymi opisaniiami, na osnove approksimatsii staticheskikh usrednennykh funktsii pravdopodobiia poligonami Smirnova”, Information Processing Systems, Vol. 5(27), pp. 28-33.