Pattern Recognition Applications and Methods
12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers
Published on 22. February 2024
Book
Paperback/Softback
XI, 151 pages
978-3-031-54725-6 (ISBN)
Description
This book constitutes the thoroughly refereed and revised selected papers from the 12th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2023, held in Lisbon, Portugal, during February 22-24, 2023.
The 28 full papers and 42 short papers included in this book were carefully reviewed and selected from 157 submissions. They were organized in topical sections as follows: theory and methods and applications.
More details
Series
Edition
2024 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
4 s/w Abbildungen, 52 farbige Abbildungen
XI, 151 p. 56 illus., 52 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
260 gr
ISBN-13
978-3-031-54725-6 (9783031547256)
DOI
10.1007/978-3-031-54726-3
Schweitzer Classification
Other editions
Additional editions
Maria De Marsico | Gabriella Sanniti di Baja | Ana Fred
Pattern Recognition Applications and Methods
12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers
E-Book
02/2024
Springer
€58.84
Available for download
Content
Theory and Methods
.- Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection.- Distance Transform in Images and Connected Plane Graphs.- Real-World Indoor Location Assessment with Unmodi?ed RFID Antennas.-
Applications
.- MSAA-Net: Multi-scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis.- Analysis of Generative Data Augmentation for Face Antispoo?ng.- Improving Person Re-Identi?cation Through Low-Light Image Enhancement.- Gender-Aware Speech Emotion Recognition in Multiple Languages.- Pattern Recognition Techniques in Image-Based Material Classi?cation of Ancient Manuscripts.