| 000 | 01541cam a2200337 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223030758.0 | ||
| 008 | 130226s2012 ua h f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.01.M.Sc.2012.Ta.C | ||
| 100 | 0 | _aTarek Mamdouh Mostafa Ahmed | |
| 245 | 1 | 0 |
_aClassifier fusion techniques using quality measures / _cTarek Mamdouh Mostafa Ahmed ; Supervised Neamat Farouk Elgayar , Iman Elazab |
| 246 | 1 | 5 | _aتقنيات دمج المصنفات باستخدام مواصفات الجودة |
| 260 |
_aCairo : _bTarek Mamdouh Mostafa Ahmed , _c2012 |
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| 300 |
_a125 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology | ||
| 520 | _aA 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aBiometrics | |
| 653 | 4 | _aFace | |
| 653 | 4 | _aMultiple classifiers | |
| 700 | 0 |
_aIman Elazab , _eSupervisor |
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| 700 | 0 |
_aNeamat Farouk Elgayar , _eSupervisor |
|
| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSamia _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c41745 _d41745 |
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