Image Pattern Recognition

Name: Image Pattern Recognition
Brand: Springer-Verlag New York Inc.
SKU: 9781461260356
Price: 52.84 EUR
Availability: InStock

Автор: V.A. Kovalevsky, A. Brown

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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52.84 € 103.34 лв

During the last twenty years the problem of pattern recognition (specifically, image recognition) ha...

Информация за книгата

Автор

V.A. Kovalevsky, A. Brown

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

241

EAN

9781461260356

ISBN

1461260353

Enbook ID

02179527

Издател

Springer-Verlag New York Inc.

Теглоt

397

Размери

155 x 235 x 15

Пълно описание

During the last twenty years the problem of pattern recognition (specifically, image recognition) has been studied intensively by many investigators, yet it is far from being solved. The number of publications increases yearly, but all the experimental results-with the possible exception of some dealing with recognition of printed characters-report a probability of error significantly higher than that reported for the same images by humans. It is widely agreed that ideally the recognition problem could be thought of as a problem in testing statistical hypotheses. However, in most applications the immediate use of even the simplest statistical device runs head on into grave computational difficulties, which cannot be eliminated by recourse to general theory. We must accept the fact that it is impossible to build a universal machine which can learn an arbitrary classification of multidimensional signals. Therefore the solution of the recognition problem must be based on a priori postulates (concerning the sets of signals to be recognized) that will narrow the set of possible classifications, i.e., the set of decision functions. This notion can be taken as the methodological basis for the approach adopted in this book.

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