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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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...
Yong Joon Shin, Cheong Hee Park (2011)
International Journal of Applied Mathematics and Computer Science
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Dimension reduction is an important topic in data mining and machine learning. Especially dimension reduction combined with feature fusion is an effective preprocessing step when the data are described by multiple feature sets. Canonical Correlation Analysis (CCA) and Discriminative Canonical Correlation Analysis (DCCA) are feature fusion methods based on correlation. However, they are different in that DCCA is a supervised method utilizing class label information, while CCA is an unsupervised...
Fisher, A.C., Lake, S.P., Cunningham, I.P., Chandna, A. (2010)
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...
Michał Muszyński, Stanisław Osowski (2014)
International Journal of Applied Mathematics and Computer Science
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Miha Grčar, Dunja Mladenič, Marko Grobelnik (2006)
Computer Science and Information Systems
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Alexandra Carpen-Amarie, Alexandru Costan, Jing Cai, Gabriel Antoniu, Luc Bougé (2011)
International Journal of Applied Mathematics and Computer Science
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Introspection is the prerequisite of autonomic behavior, the first step towards performance improvement and resource usage optimization for large-scale distributed systems. In grid environments, the task of observing the application behavior is assigned to monitoring systems. However, most of them are designed to provide general resource information and do not consider specific information for higher-level services. More precisely, in the context of data-intensive applications, a specific...
Sayeed, Shohel, Andrews, S., Besar, Rosli, Kiong, Loo Chu (2007)
Discrete Dynamics in Nature and Society
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Y. W. Teh (2004)
Mathware and Soft Computing
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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...
Greydon Buckley, Jozo Dujmović (2008)
Computer Science and Information Systems
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