Classifier fusion techniques using quality measures /
Tarek Mamdouh Mostafa Ahmed
Classifier fusion techniques using quality measures / تقنيات دمج المصنفات باستخدام مواصفات الجودة Tarek Mamdouh Mostafa Ahmed ; Supervised Neamat Farouk Elgayar , Iman Elazab - Cairo : Tarek Mamdouh Mostafa Ahmed , 2012 - 125 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
A single-classifier system usually suffers from practical limitations. Due to the non-linearity of features and the complexity of the classification problem, it is practically impossible to eliminate all the classification errors using a single classifier system. This is the main motivation behind multiple classifier systems MCS
Biometrics Face Multiple classifiers
Classifier fusion techniques using quality measures / تقنيات دمج المصنفات باستخدام مواصفات الجودة Tarek Mamdouh Mostafa Ahmed ; Supervised Neamat Farouk Elgayar , Iman Elazab - Cairo : Tarek Mamdouh Mostafa Ahmed , 2012 - 125 P. : charts , facsimiles ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
A single-classifier system usually suffers from practical limitations. Due to the non-linearity of features and the complexity of the classification problem, it is practically impossible to eliminate all the classification errors using a single classifier system. This is the main motivation behind multiple classifier systems MCS
Biometrics Face Multiple classifiers