12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers De Marsico, Maria. editor. edt http://id.loc.gov/vocabulary/relators/edt Di Baja, Gabriella Sanniti. editor. edt http://id.loc.gov/vocabulary/relators/edt Fred, Ana. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 151 p. 56 illus., 52 illus. in color. online resource. 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. 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 Unmodified 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 Antispoofing -- Improving Person Re-Identification Through Low-Light Image Enhancement -- Gender-Aware Speech Emotion Recognition in Multiple Languages -- Pattern Recognition Techniques in Image-Based Material Classification of Ancient Manuscripts. edited by Maria De Marsico, Gabriella Sanniti Di Baja, Ana Fred. Pattern recognition systems Machine learning Computer networks  Application software Computer engineering Automated Pattern Recognition Machine Learning Computer Communication Networks Computer and Information Systems Applications Computer Engineering and Networks Q337.5 TK7882.P3 9783031547263 https://doi.org/10.1007/978-3-031-54726-3 https://doi.org/10.1007/978-3-031-54726-3 240221 20251030111436.0 978-3-031-54726-3