
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014, Proceedings
Springer (Publisher)
Published on 15. October 2014
Book
Paperback/Softback
XXII, 1050 pages
978-3-319-12567-1 (ISBN)
Description
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.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
387 s/w Abbildungen
XXII, 1050 p. 387 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 57 mm
Weight
1586 gr
ISBN-13
978-3-319-12567-1 (9783319125671)
DOI
10.1007/978-3-319-12568-8
Schweitzer Classification
Other editions
Additional editions

Eduardo Bayro-Corrochano | Edwin Hancock
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014, Proceedings
E-Book
10/2014
Springer
€96.29
Available for download
Content
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.