Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/110326
Title: New Minimum Classification Error and Maximum Classification Accuracy Criterions for Bayesian Binary Hypothesis Testing Using Linear Matrix Transformations in GMM
Authors: Lorenzo-García, Fernando D.
Navarro-Mesa, Juan L. 
Ravelo-Garcia, Antonio G. 
Martín-González, Sofía Isabel 
UNESCO Clasification: 33 Ciencias tecnológicas
Issue Date: 2006
Conference: 7th International Conference on Mathematics of Signal Processing
URI: http://hdl.handle.net/10553/110326
Source: Proceedingf of the 7th International Conference on Mathematics of Signal Processing
Appears in Collections:Actas de congresos
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