| A procedure for estimating the joint probability density function (pdf) of T 1 , T 2 , and proton spin density (P D) for gray matter (GM), white matter (WM), and cerebrospinal uid (CSF) in the brain is presented. The pdf's have numerous applications, including the study of tissue parameter variability in pathology and across populations. The procedure requires a multispectral, spin echo magne...

in this paper, a bayesian approach is proposed for shift point detection in an inverse gaussian distribution. in this study, the mean parameter of inverse gaussian distribution is assumed to be constant and shift points in shape parameter is considered. first the posterior distribution of shape parameter is obtained. then the bayes estimators are derived under a class of priors and using variou...

Web services are integrated web-based applications that function over a protocol backbone. Web service selection is one of the most important steps in many of the web service applications such as UDDI registries and web service repositories. Each web service has its own functionality which matches the service request. QoS plays a major role in selecting web services in terms of qualitative meas...

This chapter first defines a recommendation process, which helps the user to select products from a large number of candidates according to personal preference. Though both conventional database and fuzzy database have been used for this task, none of the two provide a proper solution. A new approach is introduced, which is easy to design and maintain, and provides well justified results. The c...

As we all know, face age estimation task is not only challenging for computer, but even hard for human in some cases, however, coarse age classification such as classifying human face into baby, child, adult or elder people is much easier for human. In this paper, we try to dig out the potential age classification power of computer on faces from consumer images which are taken under various con...

In this paper C1, C2 are non empty sets. Let C be a non empty set. One can verify that every membership function of C is quasi total. Let C1, C2 be non empty sets. A membership function of C1, C2 is a membership function of [:C1, C2 :]. Let C1, C2 be non empty sets and let h be a membership function of C1, C2. A fuzzy relation of C1, C2, h is a FuzzySet of [:C1, C2 :], h. In the sequel f , g de...

A Gaussian membership function to model image information in spatial domain has been proposed in this paper. We introduce a new contrast intensification operator, which involves a parameter t for enhancement of color images. By minimizing the fuzzy entropy of the image information, the parameter t is calculated globally. A visible improvement in the image quality for human contrast perception i...

The study constructs the T-S neural network model for the superheater with multiple inputs and single output and presents an improved FCM algorithm aiming to solve the inputs’ space division problem. The function parameters of the Gaussian membership are obtained to identify the model structure and the recursive least squares method is adopted to identify model parameters. Simulations results s...

Due to the flourish of World Wide Web and the rapid development of the Internet technology, the increasing volume of digital textual data become more and more unmanageable, therefore the importance of text classification has gained significant attention. Text classification pose some specific challenges such as high dimensionality with each document (data point) having only a very small subset ...