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Record Nr. |
UNINA9910437762703321 |
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Titolo |
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013 / / edited by Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michał Wozniak, Andrzej Zolnierek |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (xiv, 901 pages) : illustrations (some color) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 226 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Pattern recognition systems |
Computational Intelligence |
Artificial Intelligence |
Automated Pattern Recognition |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Features, learning, and classifiers -- Biometrics -- Data Stream Classification and Big Data Analytics -- Image processing and computer vision -- Medical applications -- Miscellaneous applications -- Pattern recognition and image processing in robotics -- Speech and word recognition. |
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Sommario/riassunto |
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The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 86 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics Data Stream Classification and Big Data Analytics Features, learning, and classifiers Image processing and computer vision Medical applications Miscellaneous applications Pattern recognition and image processing in robotics Speech and word recognition This book is a |
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great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics. |
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