Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9443)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ICPRAM: International Conference on Pattern Recognition Applications and Methods
Conference proceedings info: ICPRAM 2014.
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Table of contents (18 papers)
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Front Matter
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Theory and Methods
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Front Matter
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Applications
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Front Matter
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About this book
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Pattern Recognition, ICPRAM 2014, held in Angers, France, in March 2014.
The 18 revised full papers were carefully reviewed and selected from 179 submissions and describe up-to-date applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods.
Keywords
- 3D reconstruction
- computer vision
- data mining
- distributed features
- machine learning
- biometrics
- coarse-to-fine search
- discriminative learning
- ensemble methods
- face analysis
- fingerprint recognition
- gender estimation
- GPU
- image decolorization
- image segmentation
- kernel methods
- multiple clustering
- semantic parsing
- shape matching
- support vector machines
Editors and Affiliations
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Instituto de Telecomunicações, Lisboa, Portugal
Ana Fred
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Computer Science, Sapienza University of Rome, Rome, Italy
Maria De Marsico
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LORIA-UMR 7503, Vandoevre-lès-Nancy, France
Antoine Tabbone
Bibliographic Information
Book Title: Pattern Recognition Applications and Methods
Book Subtitle: Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers
Editors: Ana Fred, Maria De Marsico, Antoine Tabbone
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-25530-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2015
Softcover ISBN: 978-3-319-25529-3Published: 20 November 2015
eBook ISBN: 978-3-319-25530-9Published: 19 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 279
Number of Illustrations: 136 illustrations in colour
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Computer Graphics, Simulation and Modeling, Computational Intelligence