Structural, Syntactic, and Statistical Pattern Recognition

Beschreibung

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.

Autor*in

Kaspar Riesen

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artificial intelligence computer science computer systems computer vision deep learning graph theory image analysis image processing machine learning mathematics neural networks pattern recognition signal processing

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