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Robustness in Statistical Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 1996) Loot Price: R2,723
Discovery Miles 27 230
Robustness in Statistical Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 1996): Y. Kharin

Robustness in Statistical Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 1996)

Y. Kharin

Series: Mathematics and Its Applications, 380

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Loot Price R2,723 Discovery Miles 27 230 | Repayment Terms: R255 pm x 12*

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This book is concerned with important problems of robust (stable) statistical pat tern recognition when hypothetical model assumptions about experimental data are violated (disturbed). Pattern recognition theory is the field of applied mathematics in which prin ciples and methods are constructed for classification and identification of objects, phenomena, processes, situations, and signals, i. e., of objects that can be specified by a finite set of features, or properties characterizing the objects (Mathematical Encyclopedia (1984)). Two stages in development of the mathematical theory of pattern recognition may be observed. At the first stage, until the middle of the 1970s, pattern recogni tion theory was replenished mainly from adjacent mathematical disciplines: mathe matical statistics, functional analysis, discrete mathematics, and information theory. This development stage is characterized by successful solution of pattern recognition problems of different physical nature, but of the simplest form in the sense of used mathematical models. One of the main approaches to solve pattern recognition problems is the statisti cal approach, which uses stochastic models of feature variables. Under the statistical approach, the first stage of pattern recognition theory development is characterized by the assumption that the probability data model is known exactly or it is esti mated from a representative sample of large size with negligible estimation errors (Das Gupta, 1973, 1977), (Rey, 1978), (Vasiljev, 1983))."

General

Imprint: Springer
Country of origin: Netherlands
Series: Mathematics and Its Applications, 380
Release date: December 2010
First published: 1996
Authors: Y. Kharin
Dimensions: 297 x 210 x 17mm (L x W x T)
Format: Paperback
Pages: 302
Edition: Softcover reprint of hardcover 1st ed. 1996
ISBN-13: 978-90-481-4760-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 90-481-4760-3
Barcode: 9789048147601

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