Pattern Recognition Applications and Methods
8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers
Published on 25. January 2020
Book
Paperback/Softback
XV, 159 pages
978-3-030-40013-2 (ISBN)
Description
This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
79 s/w Abbildungen, 53 farbige Abbildungen
XV, 159 p. 132 illus., 53 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
277 gr
ISBN-13
978-3-030-40013-2 (9783030400132)
DOI
10.1007/978-3-030-40014-9
Schweitzer Classification
Other editions
Additional editions
Maria De Marsico | Gabriella Sanniti di Baja | Ana Fred
Pattern Recognition Applications and Methods
8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers
E-Book
01/2020
Springer
€53.49
Available for download
Content
Theory and Methods.- Applications.- Bayesian Models.- Gaussian Processes.- Neural Networks.- Fuzzy Logic.- Multi-agent Learning.- Natural Language Processing.- Information retrieval.- Web Applications Image-based Modelling.