Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Info and Reading Options
18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November ... I
By José Ruiz-Shulcloper and Gabriella Sanniti di Baja
"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications" is published by Springer in Oct 22, 2013 and it has 595 pages.
“Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications” Metadata:
- Title: ➤ Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
- Authors: José Ruiz-ShulcloperGabriella Sanniti di Baja
- Number of Pages: 595
- Publisher: Springer
- Publish Date: Oct 22, 2013
“Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications” Subjects and Themes:
- Subjects: ➤ Pattern recognition systems - Optical pattern recognition - Computer vision - Image processing, digital techniques - Imaging systems - Information Systems Applications (incl. Internet) - Artificial Intelligence (incl. Robotics) - Pattern perception - Computer science - Computer software - Artificial intelligence - Biometrics - Image Processing and Computer Vision - Algorithm Analysis and Problem Complexity
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL27997317M - OL20705350W
- ISBN-13: 9783642418211
- ISBN-10: 364241821X
- All ISBNs: 364241821X - 9783642418211
AI-generated Review of “Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications”:
"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications" Description:
The Open Library:
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.
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