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

✍ Scribed by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 185
• Series: Lecture Notes in Computer Science, 13822
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Organization
Contents
Theory and Methods
Reduced Precision Research of a GAN Image Generation Use-case
1 Introduction
1.1 Reduced Precision Computing
1.2 High Energy Physics Simulations
1.3 Deep Convolutional Generative Adversarial Networks
2 Quantization Tool
3 Evaluation Quantization
3.1 Computational Evaluation
3.2 Physics Accuracy Evaluation
4 Conclusion
References
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks*-6pt
1 Introduction
2 Related Work
2.1 Generative Networks
2.2 Dilated Convolution Kernels
3 Fundamentals
3.1 SimAEGAN
3.2 Dilation
4 Experiments
4.1 Custom dSprites
4.2 MNIST
4.3 CelebA
5 Conclusion
References
Retinotopic Image Encoding by Samples of Counts
1 Introduction
2 Image Representation by Sample of Counts (Sampling Representation)
3 Retinotopic Encoding of the Sampling Representation as the Image Compression Method (Perceptual Coding)
4 Conclusions
References
Gesture Recognition and Multi-modal Fusion on a New Hand Gesture Dataset
1 Introduction
2 Related Work
2.1 Hand Gesture Datasets
2.2 Multi-modal Fusion
2.3 Contribution
3 Dataset
3.1 Gesture Classes
3.2 Modalities
3.3 Preprocessing
3.4 Acceleration
4 Unimodal Classification
4.1 LSTM
4.2 CNN
5 Multi-modal Fusion
6 Live Demonstrator
6.1 Implementation
6.2 Experiments
7 Conclusion
References
Adaptive Sampling for Weighted Log-Rank Survival Trees Boosting
1 Introduction
2 Related Work
2.1 Survival Tree
2.2 Random Survival Forest
2.3 Gradient Boosting Survival Analysis
3 Proposed Approach
3.1 Survival Tree with Weighted Log-Rank Criteria
3.2 Survival Bagging with Weighted Log-Rank Criteria
3.3 Weighted Boosting
3.4 Proposed Adaptive Boosting Ensemble
4 Experiments
4.1 Metrics
4.2 Datasets
4.3 Experimental Setup
4.4 Results
5 Conclusions
References
Applications
Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities Using Time-Series Analysis During Transient System States
1 Introduction
1.1 Background
1.2 Motivation
1.3 Related Work
2 Methodology
2.1 Prior Approach
2.2 Revised Approach
3 Results
3.1 Model Fitting
3.2 Model Testing
3.3 Model Forecasting
4 Conclusions
4.1 Prior Approach
4.2 Revised Approach
4.3 Future Work
References
Exploiting Temporal Coherence to Improve Person Re-identification
1 Introduction
2 Related Work
3 Dataset
4 Proposal Description
4.1 Runners in the Gallery
4.2 Fastest Elapsed Time
4.3 Adaptive Time Estimation
4.4 Average Time
4.5 Individual Time
5 ReID Experimental Evaluation
6 Conclusions
References
Perusal of Camera Trap Sequences Across Locations
1 Introduction
2 Related Works
3 Proposed Pipeline to Process Camera Trap Sequences
4 Experimental Studies for Processing Camera Trap Sequences
4.1 Experimental Studies on Empty Frame Removal
4.2 Experimental Studies for Wildlife Detection
4.3 Experimental Studies on Species Recognition from Camera Trap Sequences
5 Conclusion
References
Author Index