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.
Contributor(s): Bayro-Corrochano, Eduardo [editor.] | Hancock, Edwin [editor.] | SpringerLink (Online service).
Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 8827Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XXII, 1050 p. 387 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319125688.Subject(s): Pattern recognition systems | Computer vision | Artificial intelligence | Biometric identification | Algorithms | Application software | Automated Pattern Recognition | Computer Vision | Artificial Intelligence | Biometrics | Algorithms | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access onlineImage 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.
This book constitutes the refereed proceedings of the 19th 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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