Intelligence in manufacturing systems: the pattern recognition perspective
Marek Zaremba (2010)
Control and Cybernetics
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Displaying similar documents to “Rough sets methods in feature reduction and classification”
Intelligence in manufacturing systems: the pattern recognition perspective
Toward Optimal Feature Selection Using Ranking Methods and Classification Algorithms
Jasmina Novaković, Perica Strbac, Dusan Bulatović (2011)
The Yugoslav Journal of Operations Research
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Effective Semi-supervised Nonlinear Dimensionality Reduction for Wood Defects Recognition
Zhao Zhang, Ning Ye (2010)
Computer Science and Information Systems
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Comparison of speaker dependent and speaker independent emotion recognition
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...
Data mining methods for gene selection on the basis of gene expression arrays
Michał Muszyński, Stanisław Osowski (2014)
International Journal of Applied Mathematics and Computer Science
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Incremental nonnegative matrix factorization for face recognition.
Chen, Wen-Sheng, Pan, Binbin, Fang, Bin, Li, Ming, Tang, Jianliang (2008)
Mathematical Problems in Engineering
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Combining biometric fractal pattern and particle swarm optimization-based classifier for fingerprint recognition.
Lin, Chia-Hung, Chen, Jian-Liung, Gaing, Zwe-Lee (2010)
Mathematical Problems in Engineering
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Conceptual base of feature selection consulting system
Pavel Pudil, Jana Novovičová, Petr Somol, Radek Vrňata (1998)
Kybernetika
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The paper briefly reviews recent advances in the methodology of feature selection (FS) and the conceptual base of a consulting system for solving FS problems. The reasons for designing a kind of expert or consulting system which would guide a less experienced user are outlined. The paper also attempts to provide a guideline which approach to choose with respect to the extent of a priori knowledge of the problem. The methods discussed here form the core of the software package being developed...
Web-strabnet: a web-based expert system for the differential diagnosis of vertical strabismus (squint).
Fisher, A.C., Lake, S.P., Cunningham, I.P., Chandna, A. (2010)
Computational & Mathematical Methods in Medicine
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Decomposition of high dimensional pattern spaces for hierarchical classification
Rajeev Kumar, Peter I Rockett (1998)
Kybernetika
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In this paper we present a novel approach to decomposing high dimensional spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical classification. This strategy of pre-processing the data and explicitly optimising the partitions for subsequent mapping onto a hierarchical classifier is found to both reduce the learning complexity and the classification time with no degradation in overall classification error rate. Results of partitioning...