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Random Graphs for Statistical Pattern Recognition: Wiley Series in Probability and Statistics

Autor DJ Marchette
en Limba Engleză Hardback – 11 mar 2004
Takes a look at the application of random graphs to pattern recognition. This work presents examples of applications of the graphs studied, as well as the theoretical treatment of their properties; and a compilation of topics in discrete mathematics, pattern recognition, and machine learning.
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Specificații

ISBN-13: 9780471221760
ISBN-10: 0471221767
Pagini: 264
Dimensiuni: 161 x 240 x 22 mm
Greutate: 0.57 kg
Ediția:New.
Editura: Wiley
Seria Wiley Series in Probability and Statistics

Locul publicării:Hoboken, United States

Public țintă

This book is ideal for those studying graduate–level courses in random graphs for pattern recognition.  Also aimed at academics and researchers in graph theory, statistics, pattern recognition, and machine learning, it is appropriate for professionals requiring techniques for discriminant analysis and pattern recognition; computer scientists, discrete mathematicians, and both applied and theoretical statisticians 

Notă biografică

DAVID J. MARCHETTE, PhD, is a researcher at the Naval Surface Warfare Center in Dahlgren, Virginia, where he investigates computational statistics and pattern recognition, primarily as it applies to image processing, automatic target recognition, and computer security. He is also an adjunct professor at George Mason University and a lecturer at Johns Hopkins University.