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Gaussian mixture models (GMMs) are commonly used in text-independent speaker verification for modeling the spectral distribution of speech. Recent studies have shown the effectiveness of characterizing speaker information using the mean super-vector obtained by concatenating the mean vectors of the GMM. This paper proposes to use the spatial correlation captured by the covariance matrix of the mean...
Pattern recognition may be used for crack size and type classification in ultrasonic nondestructive evaluation. Feature selection and reduction of computational complexity are two important problems to be solved in the development of pattern recognition algorithms. This paper describes a classifier based on support vector machines (SVM) and principal component analysis (PCA). The proposed approach...
Ensemble of classifiers (Multiple classifier system) and Support Vector Machine (SVM) are now well established research lines in machine learning. Recently, some works devoted to SVM-based ensembles report that the most popular ensembles creation methods Bagging and Adaboost are not expected to improve the performance of SVMs and sometimes they even worsen the performance, due to that SVM is stable...
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