Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November 20-13, 2013, Proceedings, Part I

Free delivery worldwide

Available. Expected delivery to the United States in 9-12 business days.


Not ordering to the United States? Click here.

Description

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013.
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
show more

Product details

  • Paperback | 563 pages
  • 155 x 235 x 30.73mm | 902g
  • Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Berlin, Germany
  • English
  • 2013 ed.
  • 170 Illustrations, black and white; XXXII, 563 p. 170 illus.
  • 364241821X
  • 9783642418211

Back cover copy

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013.
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.
show more

Table of contents

Mathematical Theory of PR.- Supervised and Unsupervised Classification.- Feature or Instance Selection for Classification.- Image Analysis and Retrieval.- Signals Analysis and Processing.
show more