Pattern Recognition Applications and Methods

1. Front Matter

   Pages i-xiii

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2. Theory and Methods

   1. Front Matter

      Pages 1-1

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   2. Reduced Precision Research of a GAN Image Generation Use-case

      • Florian Rehm, Vikram Saletore, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker

      Pages 3-22

   3. Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks

      • Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding

      Pages 23-51

   4. Retinotopic Image Encoding by Samples of Counts

      • Viacheslav Antsiperov, Vladislav Kershner

      Pages 52-75

   5. Gesture Recognition and Multi-modal Fusion on a New Hand Gesture Dataset

      • Monika Schak, Alexander Gepperth

      Pages 76-97

   6. Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting

      • Iulii Vasilev, Mikhail Petrovskiy, Igor Mashechkin

      Pages 98-115

3. Applications

   1. Front Matter

      Pages 117-117

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   2. Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities Using Time-Series Analysis During Transient System States

      • Charith Gunasekara, Lise Arseneau, Cheryl Eisler

      Pages 119-133

   3. Exploiting Temporal Coherence to Improve Person Re-identification

      • Oliverio J. Santana, Javier Lorenzo-Navarro, David Freire-Obregón, Daniel Hernández-Sosa, José Isern-González, Modesto Castrillón-Santana

      Pages 134-151

   4. Perusal of Camera Trap Sequences Across Locations

      • Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

      Pages 152-174

4. Back Matter

   Pages 175-175

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This book contains revised and extended versions of selected papers from the 10th and 11^th 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.

• artificial intelligence
• communication systems
• computer networks
• computer science
• computer security
• computer systems
• computer vision
• correlation analysis
• education
• engineering
• image analysis
• image processing
• image reconstruction
• internet
• learning
• machine learning
• mathematics
• network protocols
• neural networks
• signal processing

• Sapienza Università di Roma, Rome, Italy

  Maria De Marsico

• ICAR, Consiglio Nazionale delle Ricerche, Naples, Italy

  Gabriella Sanniti di Baja

• IST - Torre Norte, Instituto de Telecomunicações, Lisbon, Portugal

  Ana Fred

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