Intelligence in manufacturing systems: the pattern recognition perspective
Marek Zaremba (2010)
Control and Cybernetics
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Marek Zaremba (2010)
Control and Cybernetics
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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...
Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin (2014)
International Journal of Applied Mathematics and Computer Science
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Jianfeng Liu, Zhigeng Pan, Xiangcheng Li (2010)
Computer Science and Information Systems
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Stanislav S. Makhanov, Edmond J. Vanderperre (2001)
The Yugoslav Journal of Operations Research
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Andreou, A.S., Zombanakis, G.A., Georgopoulus, E.F., Likothanassis, S.D. (2000)
Discrete Dynamics in Nature and Society
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Jarosław Gocławski, Joanna Sekulska-Nalewajko, Elżbieta Kuźniak (2012)
International Journal of Applied Mathematics and Computer Science
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The increased production of Reactive Oxygen Species (ROS) in plant leaf tissues is a hallmark of a plant's reaction to various environmental stresses. This paper describes an automatic segmentation method for scanned images of cucurbits leaves stained to visualise ROS accumulation sites featured by specific colour hues and intensities. The leaves placed separately in the scanner view field on a colour background are extracted by thresholding in the RGB colour space, then cleaned from...
Michał Woźniak, Bartosz Krawczyk (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier,...
Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
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Shamsuddin, Siti Mariyam Hj., Sulaiman, Md.Nasir, Darus, Maslina (1999)
Bulletin of the Malaysian Mathematical Society. Second Series
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Eraslan, Ergün (2009)
Mathematical Problems in Engineering
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Roman Świniarski (2001)
International Journal of Applied Mathematics and Computer Science
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The paper presents an application of rough sets and statistical methods to feature reduction and pattern recognition. The presented description of rough sets theory emphasizes the role of rough sets reducts in feature selection and data reduction in pattern recognition. The overview of methods of feature selection emphasizes feature selection criteria, including rough set-based methods. The paper also contains a description of the algorithm for feature selection and reduction based on...