
Pattern Recognition Applications and Methods
9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers
Springer (Publisher)
Published on 23. December 2020
Book
Paperback/Softback
XI, 139 pages
978-3-030-66124-3 (ISBN)
Description
This book contains revised and extended versions of selected papers from the 9th International Conference on Pattern Recognition, ICPRAM 2020, held in Valletta, Malta, in February 2020. The 7 full papers presented were carefully reviewed and selected from 102 initial submissions.
The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
5 s/w Abbildungen, 41 farbige Abbildungen
XI, 139 p. 46 illus., 41 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
242 gr
ISBN-13
978-3-030-66124-3 (9783030661243)
DOI
10.1007/978-3-030-66125-0
Schweitzer Classification
Other editions
Additional editions

Maria De Marsico | Gabriella Sanniti di Baja | Ana Fred
Pattern Recognition Applications and Methods
9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers
E-Book
12/2020
Springer
€53.49
Available for download
Content
End to End Deep Neural Network Classifier Design for Universal Sign Recognition.- MaskADNet: MOTS based on ADNet.- Dimensionality Reduction and Attention Mechanisms for Extracting.- Efficient Radial Distortion Correction for Planar Motion.- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests.- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning.- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.