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{ "item_title" : "Structural, Syntactic, and Statistical Pattern Recognition", "item_author" : [" Kaspar Riesen", "Luca Rossi "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/240/097/303240097X_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Structural, Syntactic, and Statistical Pattern Recognition|Kaspar Riesen

Structural, Syntactic, and Statistical Pattern Recognition : Joint Iapr International Workshops, S+sspr 2026, Bern, Switzerland, August 24-26, 2026, Re

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783032400970
  • ISBN-10: 303240097X
  • Publisher: Springer
  • Publish Date: November 2026
  • Page Count: 254

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