Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9370)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: SIMBAD 2015.
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About this book
theoretical issues to empirical validations.
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Keywords
- Pattern recognition
- machine learning theory
- machine learning approaches
- learning paradigms
- knowledge representation and reasoning
- graph representation
- kernel methods
- supervised learning
- unsupervised learning
- dissimilarity-based learning
- similarity-based learning
- non-Euclidean geometry
- algorithm analysis and problem complexity
Table of contents (16 papers)
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Similarity-Based Pattern Recognition
Editors and Affiliations
Bibliographic Information
Book Title: Similarity-Based Pattern Recognition
Book Subtitle: Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings
Editors: Aasa Feragen, Marcello Pelillo, Marco Loog
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-24261-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-24260-6Published: 16 October 2015
eBook ISBN: 978-3-319-24261-3Published: 04 October 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 229
Number of Illustrations: 78 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Database Management, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet)