TY - BOOK AU - De Marsico,Maria AU - Sanniti di Baja,Gabriella AU - Fred,Ana ED - SpringerLink (Online service) TI - Pattern Recognition Applications and Methods: 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, Virtual Event, February 4-6, 2021 and February 3-5, 2022, Revised Selected Papers T2 - Lecture Notes in Computer Science, SN - 9783031245381 AV - Q337.5 U1 - 006.4 23 PY - 2023/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Pattern recognition systems KW - Machine learning KW - Computer engineering KW - Computer networks  KW - Application software KW - Automated Pattern Recognition KW - Machine Learning KW - Computer Engineering and Networks KW - Computer and Information Systems Applications N1 - Acceso multiusuario; Theory and Methods Reduced Precision Research of a GAN Image Generation Use-case -- Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks -- Retinotopic Image Encoding by Samples of Counts -- Gesture Recognition and Multi-Modal Fusion on a New Hand Gesture Dataset -- Adaptive Sampling for Weighted Log-rank Survival Trees Boosting -- Applications Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities using Time-series Analysis during Transient System States -- Exploiting Temporal Coherence to Improve Person Re-identification -- Perusal of Camera Trap Sequences across Locations N2 - This book contains revised and extended versions of selected papers from the 10th and 11th International Conference on Pattern Recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. The papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-24538-1 ER -