Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10880)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MCPR: Mexican Conference on Pattern Recognition
Conference proceedings info: MCPR 2018.
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Table of contents (28 papers)
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Front Matter
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Pattern Recognition Principles
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Front Matter
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Deep Learning, Neural Networks and Associative Memories
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Front Matter
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Data Mining
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Front Matter
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About this book
The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision.
Editors and Affiliations
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National Institute of Astrophysics, Optics and Electronics, Sta. Maria Tonantzintla, Mexico
José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa
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Autonomous University of Puebla, Puebla, Mexico
José Arturo Olvera-López
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University of South Florida, Tampa, USA
Sudeep Sarkar
Bibliographic Information
Book Title: Pattern Recognition
Book Subtitle: 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings
Editors: José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-92198-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-92197-6Published: 31 May 2018
eBook ISBN: 978-3-319-92198-3Published: 20 June 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 288
Number of Illustrations: 113 b/w illustrations
Topics: Pattern Recognition, Artificial Intelligence, Image Processing and Computer Vision