Pattern Recognition Applications and Methods: 14th International Conference, ICPRAM 2025, Porto, Portugal, February 23–25, 2025, Revised Selected Papers

Author:   Ana Fred ,  Maria De Marsico ,  Modesto Castrillón-Santana
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032286604


Pages:   219
Publication Date:   21 October 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Pattern Recognition Applications and Methods: 14th International Conference, ICPRAM 2025, Porto, Portugal, February 23–25, 2025, Revised Selected Papers


Overview

This book constitutes extended and revised versions of selected papers from the 14th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2025, held in Porto, Portugal, during February 23-25, 2025. The 7 full papers and 4 short papers presented in this book were carefully reviewed and selected from 132 submissions. They were organized into the following topical sections: Theory and Methods; Applications.

Full Product Details

Author:   Ana Fred ,  Maria De Marsico ,  Modesto Castrillón-Santana
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032286604


ISBN 10:   3032286603
Pages:   219
Publication Date:   21 October 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Theory and Methods. .- ImageNet Accuracy and Model Popularity Don’t Always Select the Best Pretrained Model for Transfer Learning. .- Meta-Learned Implicit Neural Representations for Scalable and Fast Hyperspectral Image Compression. .- Beyond the Pixels: Robust Cattle Segmentation for Enhanced Livestock Monitoring. .- XPD-MelVAE: A Hybrid Conditional β-VAE and ML Framework for Explainable Early Parkinson’s Disease Detection from Mel-Spectrograms. .- Generative Sparse Data Augmentation Dealing with Performance Evaluation. .- Sparse Machine Learning Models for Predicting Malnutrition in Children Under Five. .- Principal Direction-Based 2-Gaussian Fitting Method. .- On the Use of Union and Intersection for K-Fold Feature Selection. .- Applications. .- Multi-Object 2DGS: Occlusion-Robust Background Removal for Multiple Object Models. .- Enhancing Real-Time Object Detection on NVIDIA Jetson Nano via Class-Specific Dataset Splitting for YOLO Models. .- Spatio-Temporal Transformers for Long-Term NDVI Forecasting.

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