Classification of reduction invariants with improved backpropagation.
Shamsuddin, S.M., Darus, M., Sulaiman, M.N. (2002)
International Journal of Mathematics and Mathematical Sciences
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Shamsuddin, S.M., Darus, M., Sulaiman, M.N. (2002)
International Journal of Mathematics and Mathematical Sciences
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Ewa Świercz (2010)
International Journal of Applied Mathematics and Computer Science
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A new supervised classification algorithm of a heavily distorted pattern (shape) obtained from noisy observations of nonstationary signals is proposed in the paper. Based on the Gabor transform of 1-D non-stationary signals, 2-D shapes of signals are formulated and the classification formula is developed using the pattern matching idea, which is the simplest case of a pattern recognition task. In the pattern matching problem, where a set of known patterns creates predefined classes,...
Stanislav S. Makhanov, Edmond J. Vanderperre (2001)
The Yugoslav Journal of Operations Research
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Vito Cappellini, Pier Luigi Emiliani (1990)
Kybernetika
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Chawla, M.P.S. (2007)
Computational & Mathematical Methods in Medicine
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Jan Rybka, Artur Janicki (2013)
International Journal of Applied Mathematics and Computer Science
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This paper describes a study of emotion recognition based on speech analysis. The introduction to the theory contains a review of emotion inventories used in various studies of emotion recognition as well as the speech corpora applied, methods of speech parametrization, and the most commonly employed classification algorithms. In the current study the EMO-DB speech corpus and three selected classifiers, the k-Nearest Neighbor (k-NN), the Artificial Neural Network (ANN) and Support Vector...
Petr Tichavský, Zbyněk Koldovský (2011)
Kybernetika
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This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram...