Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshops, S+SSPR 2026, Bern, Switzerland, August 24–26, 2026, Revised Selected Papers
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Lecture Notes in Computer Science
Structural, Syntactic, and Statistical Pattern Recognition
Joint IAPR International Workshops, S+SSPR 2026, Bern, Switzerland, August 24–26, 2026, Revised Selected Papers
Kaspar Riesen | Luca Rossi
This book constitutes the proceedings of the Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2026, which took place in Bern, Switzerland, during August 2026.
The 23 full papers included in this book were carefully reviewed and selected from 38 submissions.
They were organised in topical sections as follows: Spectral and Structural Graph Neural Networks; Shape, Geometry, and Topological Representation; Adaptive Augmentation and Open-World Perception; Distance-Based and Uncertainty-Aware Classification; Biomedical and Molecular Representation Learning; Understanding Graph Structure and Graph Similarity; Latent Spaces, Multi-View Retrieval, and Clustering; and Graph-Based Analysis of Spatial and Networked Systems.
| Publication Date: | 13 November 2026 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783032400970 |
| Format: | Paperback softback |
| Page Count: | 254 |