Product Information
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.Product Identifiers
PublisherSpringer-Verlag New York Inc.
ISBN-139781461260356
eBay Product ID (ePID)176456937
Product Key Features
Number of Pages241 Pages
Publication NameImage Pattern Recognition
LanguageEnglish
SubjectComputer Science
Publication Year2011
TypeTextbook
AuthorV.A. Kovalevsky
FormatPaperback
Dimensions
Item Height235 mm
Item Weight397 g
Additional Product Features
Country/Region of ManufactureUnited States
Title_AuthorV.A. Kovalevsky