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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings / edited by Eduardo Bayro-Corrochano, Edwin Hancock

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 8827Publisher: Cham [u.a.] : Springer, 2014Description: Online-Ressource (XXII, 1050 p. 387 illus, online resource)ISBN:
  • 9783319125688
Subject(s): Genre/Form: Additional physical formats: 9783319125671 | Erscheint auch als: 978-331-91256-7-1 Druck-Ausgabe | Erscheint auch als: Progress in pattern recognition, image analysis, computer vision, and applications. Druck-Ausgabe. Cham [u.a.] : Springer, 2014. XXII, 1050 p.DDC classification:
  • 006.4
LOC classification:
  • Q337.5 TK7882.P3
  • Q337.5
  • TK7882.P3
DOI: DOI: 10.1007/978-3-319-12568-8Online resources:
Contents:
Image codingProcessing 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 maching learning -- Neural networks for pattern recognition -- Computer vision and robot vision -- Video segmentation and tracking.
Summary: 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 maching learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and trackingPPN: PPN: 1659490529Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
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