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Pattern Recognition -

Pattern Recognition

46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part I
Buch | Softcover
XVII, 365 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-85180-3 (ISBN)
CHF 98,85 inkl. MwSt

This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.
The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:
Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.
Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.

.- Clustering and Segmentation.

.- PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.

.- A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning.

.- Self-Supervised Semantic Segmentation from Audio-Visual Data.

.- BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation.

.- Learning Techniques.

.- FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks.

.- Self-Masking Networks for Unsupervised Adaptation.

.- A Theoretical Formulation on the Use of Multiple Positive Views in Contrastive Learning

.- Decoupling of neural network calibration measures.

.- Examining Common Paradigms in Multi-Task Learning.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XVII, 365 p. 113 illus., 103 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte 3D Reconstruction • Artificial Intelligence • computer vision • Deep learning • Health Informatics • Image Compression • Information Retrieval • Knowledge Representation and Reasoning • machine learning algorithms • machine learning theory • Mathematical Optimization • Natural and Life Sciences • neural rendering • pattern recognition • Photogrammetry • Remote Sensing • Robotics • robust models • Shape modeling • spatial-temporal systems
ISBN-10 3-031-85180-3 / 3031851803
ISBN-13 978-3-031-85180-3 / 9783031851803
Zustand Neuware
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Buch | Hardcover (2025)
Rheinwerk (Verlag)
CHF 69,85