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Showing papers on "Intelligent word recognition published in 1973"


Book
01 Jan 1973

33 citations


Book
26 Jun 1973
TL;DR: The answer to a problem which may have puzzled many of the readers is presented: given a multivariate probability density function and its marginals, how does one find the other multivariate densities which have the same set of marginals?
Abstract: This paper presents the answer to a problem which may have puzzled many of the readers: given a multivariate probability density function and its marginals, how does one find the other multivariate densities which have the same set of marginals? The answer is that all the multivariate densities may be found by applying a particular transformation (called the transformation) a number of times to the product of the marginals. It thus becomes possible, by hill-clim£ ing, to find the "WDrst" or the "best" multivariate density which is concomitant with a specified set of marginals. This new technique is important in connection with problems where the designer only has access to the marginals and where he wants to bound functions of the multivariate density. Fo~ illustration, the tec! nique is used to solve two hitherto unsolved problems, one in the field of electronic circuit reliability, and one in the field of pattern recognition.

5 citations