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Rough Set-Based Incremental Learning Approach to Face Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6086))

Abstract

The article reports our implementation of a rough set-based incremental learning algorithm involving the application of the hierarchy of probabilistic decision tables to face recognition. The implementation, the related theoretical background such as the basics of the variable precision rough set theory, the algorithm, the classifier structure and experiments with balanced and imbalanced data sets are presented.

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Chen, X., Ziarko, W. (2010). Rough Set-Based Incremental Learning Approach to Face Recognition. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_38

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  • DOI: https://doi.org/10.1007/978-3-642-13529-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13528-6

  • Online ISBN: 978-3-642-13529-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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