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 / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (eds.).
De Marsico, Maria, editor.; Sanniti di Baja, Gabriella, editor.; Fred, Ana, editor.; ICPRAM (Conference) (10th : 2021 : Online); ICPRAM (Conference) (11th : 2022 : Online)
2023
TK7882.P3
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Title 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 / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (eds.).
ISBN 9783031245381 (electronic bk.)
3031245385 (electronic bk.)
9783031245374
3031245377
DOI https://doi.org/10.1007/978-3-031-24538-1
Published Cham : Springer, 2023.
Language English
Description 1 online resource (170 pages)
Item Number 10.1007/978-3-031-24538-1 doi
Call Number TK7882.P3
Dewey Decimal Classification 006.4
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author De Marsico, Maria, editor.
Sanniti di Baja, Gabriella, editor.
Fred, Ana, editor.
Added Meeting Name ICPRAM (Conference) (10th : 2021 : Online)
ICPRAM (Conference) (11th : 2022 : Online)
Series Lecture notes in computer science ; 13822.
Available in Other Form Pattern recognition applications and methods.
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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.

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