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Record Nr. |
UNISA996213647403316 |
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Titolo |
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications [[electronic resource] ] : 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014, Proceedings / / edited by Eduardo Bayro-Corrochano, Edwin Hancock |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XXII, 1050 p. 387 illus.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8827 |
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Disciplina |
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Soggetti |
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Pattern recognition |
Optical data processing |
Artificial intelligence |
Biometrics (Biology) |
Algorithms |
Application software |
Pattern Recognition |
Image Processing and Computer Vision |
Artificial Intelligence |
Biometrics |
Algorithm Analysis and Problem Complexity |
Information Systems Applications (incl. Internet) |
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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 contenuto |
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Image coding -- Processing and analysis -- Segmentation -- Analysis of shape and texture -- Analysis of signal, speech and language -- Document processing and recognition -- Feature extraction, clustering and classification -- Pattern recognition and machine learning -- Neural networks for pattern recognition -- Computer vision and robot vision -- Video segmentation and tracking. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 19th |
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Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The 115 papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and tracking. |
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