Deep learning theory and applications Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, revised selected papers
Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding.- Active Collection of Well-being and Health Data in Mobile Devices.- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs.- Trac Sign Repositories...
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Weitere Verfasser: | , , , |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham
Springer
2023
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Schriftenreihe: | Communications in computer and information science
1858 |
Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Hardware / Network Hardware
> COMPUTERS / Information Technology
> Künstliche Intelligenz
> Mathematical theory of computation
> Mathematik für Informatiker
> Network hardware
> Netzwerk-Hardware
> Systemanalyse und -design
> Systems analysis & design
> Konferenzschrift
> Deep learning
> Bildverarbeitung
> Neuronales Netz
> Maschinelles Lernen
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Online Zugang: | Cover Inhaltsverzeichnis |
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Zusammenfassung: | Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding.- Active Collection of Well-being and Health Data in Mobile Devices.- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs.- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data.- Convolutional Neural Networks for Structural Damage Localization on Digital Twins.- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022. The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains |
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Beschreibung: | viii, 120 Seiten Illustrationen, Diagramme |
ISBN: | 9783031373169 978-3-031-37316-9 |