“…CVA is a subspace-based pattern recognition method that has been preferred for use in speech recognition (Gülmezoglu, Dzhafarov, & Barkana, 2001;Gülmezoglu, Dzhafarov, Keskin, & Barkana, 1999), speaker recognition (Gülmezoglu & Barkana, 1998), image recognition (Çevikalp, Neamtu, Wilkes, & Barkana, 2005), and motor fault diagnosis (Gülmezoglu & Ergin, 2007) problems. In the implementation of CVA, a common vector for each class is calculated using feature vectors in the training set of that class.…”