03035nam 2200505 450 99650866990331620230429230412.03-031-24538-510.1007/978-3-031-24538-1(MiAaPQ)EBC7187098(Au-PeEL)EBL7187098(CKB)26068923100041(DE-He213)978-3-031-24538-1(PPN)267807082(EXLCZ)992606892310004120230429d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPattern 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 /edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred1st ed. 2023.Cham, Switzerland :Springer,[2023]©20231 online resource (185 pages)Lecture Notes in Computer Science,1611-3349 ;13822Print version: De Marsico, Maria Pattern Recognition Applications and Methods Cham : Springer International Publishing AG,c2023 9783031245374 Includes bibliographical references and index.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.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.Lecture Notes in Computer Science,1611-3349 ;13822Pattern perceptionPattern perception.410De Marsico MariaSanniti di Baja GabriellaFred AnaMiAaPQMiAaPQMiAaPQBOOK996508669903316Pattern Recognition Applications and Methods1412182UNISA