نتایج جستجو برای: gustafson

تعداد نتایج: 386  

2007
HSIANG-CHUAN LIU

The well known fuzzy partition clustering algorithms are most based on Euclidean distance function, which can only be used to detect spherical structural clusters. Gustafson-Kessel (GK) clustering algorithm and Gath-Geva (GG) clustering algorithm, were developed to detect non-spherical structural clusters, but both of them based on semi-supervised Mahalanobis distance needed additional prior in...

Journal: :Science 1956
D Wolfle

Radioactivity in Thyroid Glands Following Nuclear Weapons Tests: L. Van Middlesworth . ........................................... 982 Gum Replica Technique for Electron or Light Microscopy: G. E. Hess and E. J. Schantz ...... .............................. 983 Action of p-{Di(2-chloroethyl) }-amino-L-phenylalanine of HardingPassey Mouse Melanoma: J. M. Luck ..... ........................ 984 I...

Journal: :Science 1956
L VAN MIDDLESWORTH

Radioactivity in Thyroid Glands Following Nuclear Weapons Tests: L. Van Middlesworth . ........................................... 982 Gum Replica Technique for Electron or Light Microscopy: G. E. Hess and E. J. Schantz ...... .............................. 983 Action of p-{Di(2-chloroethyl) }-amino-L-phenylalanine of HardingPassey Mouse Melanoma: J. M. Luck ..... ........................ 984 I...

2000
Uzay Kaymak Magne Setnes

Fuzzy clustering is a widely applied method for obtaining fuzzy models from data. It has been applied successfully in various fields including finance and marketing. Despite the successful applications, there are a number of issues that must be dealt with in practical applications of fuzzy clustering algorithms. This technical report proposes two extensions to the objective function based fuzzy...

2009
Mohammad Hossein Fazel Zarandi Marzie Zarinbal I. Burhan Türksen

Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have been presented such as Fuzzy C-Mean (FCM) and Possibilistic C-Mean (PCM), where these methods are Type-I Fuzzy clustering. Type-II Fuzzy sets, on the other hand, can provide better performance than Type-I Fuzzy sets, es...

Journal: :Journal - Forensic Science Society 1974
D G MacDonald

Introduction Identification of suspects from bite marks has been undertaken in this country for nearly 70 years. Despite this, cases involving this type of identification are relatively rare and a statement made in 1966 by Gustafson, that few authorities have seen more than a handful of cases, remains true today. The available published case reports indicate that the techniques of investigation...

2000
CORINNE E. GUSTAFSON TOSHIYA KATSURA MARY MCKEE RICHARD BOULEY JAMES E. CASANOVA DENNIS BROWN Toshiya Katsura Mary McKee Richard Bouley James E. Casanova

Gustafson, Corinne E., Toshiya Katsura, Mary McKee, Richard Bouley, James E. Casanova, and Dennis Brown. Recycling of AQP2 occurs through a temperatureand bafilomycin-sensitive trans-Golgi-associated compartment. Am. J. Physiol. Renal Physiol. 278: F317–F326, 2000.—The exoand endocytotic pathway in which aquaporin-2 (AQP2) travels between the plasma membrane and intracellular vesicles is only p...

Journal: :Computer methods and programs in biomedicine 2013
Helton Hugo de Carvalho Junior Robson L. Moreno Tales Cleber Pimenta Paulo César Crepaldi Evaldo Renó Faria Cintra

This article presents the viability analysis and the development of heart disease identification embedded system. It offers a time reduction on electrocardiogram - ECG signal processing by reducing the amount of data samples, without any significant loss. The goal of the developed system is the analysis of heart signals. The ECG signals are applied into the system that performs an initial filte...

2002
J. Barclay Adams

The. development of automated assistance for medical diagnosis and decision making is an area of both theoretical and practical interest. Of methods for utilizing evidence to select diagnoses or decisions, probability theory has the firmest appeal. Probability theory in the form of Bayes’ Theorem has been used by a number of" workers (Ross, 1972). Notable among recent developments are those of ...

2013
Armin Größlinger Louis-Noël Pouchet David G. Wonnacott Michelle Mills Strout Tomofumi Yuki Sanjay Rajopadhye Sven Verdoolaege Hristo Nikolov Todor Stefanov Philippe Clauss Matthieu Kuhn Yosr Slama

The Polyhedral model has proven to be a valuable tool for improving memory locality and exploiting parallelism for optimizing dense array codes. This model is expressive enough to describe transformations of imperfectly nested loops, and to capture a variety of program transformations, including many approaches to loop tiling. Tools such as the highly successful PLuTo automatic parallelizer hav...

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