IAPR Technical Committee 2 (TC2)
Structural and Syntactical Pattern Recognition
Structural and Syntactical Pattern Recognition
The IAPR TC2 on Structural and Syntactical Pattern Recognition is one of the official Technical Committees of the International Association for Pattern Recognition. The aim of the TC2 is to promote interaction and collaboration among researchers working on Structural and Syntactical Pattern Recognition (SSPR).
Since 1996, the IAPR TC1 and TC2 jointly organise the biennial conference S+SSPR. The event is traditionally colocated with the International Conference on Pattern Recognition (ICPR), attracting participants working in a wide variety of fields that make use of statistical, structural or syntactic pattern recognition techniques.
The TC2 is pleased to invite you to submit your work to S+SSPR 2026, the 21st Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), to be held 24–26 August 2026 in Bern, Switzerland. Check out the conference website for more information and or the CFP below.
The 2nd TC2 PhD Summer School on Deep Learning on Graphs was held in Bertinoro, Italy, 7-9 July 2025. Check out the school website for more info. Stay tuned for the next edition of the school planned for 2027.
Find us on Twitter @iaprtc2
S+SSPR is a well-established forum bringing together researchers working on statistical, structural, and syntactic approaches to pattern recognition, as well as their applications. The workshop will take place shortly after ICPR 2026 and will be hosted by the University of Bern, Switzerland.
Topics include, but are not limited to:
Statistical Pattern Recognition (SPR)
Classification, prediction, Gaussian processes; Feature selection, ensemble methods, dimensionality reduction; Metric and representation learning; Semi- and weakly supervised learning; Active learning, novelty detection; Deep, generative, and adversarial models; Reinforcement learning, transfer learning, domain adaptation; Clustering and data modeling
Structural and Syntactic Pattern Recognition (SSPR)
Graph-based methods; Graph neural networks; Structural matching and complexity; Graphical models and structural kernels; Spectral methods; Spatio-temporal pattern analysis; Shape analysis and document understanding; Multimedia retrieval and intelligent sensing
Submission Details
- Papers must be original and not under review elsewhere
- Maximum length: 10 pages, LNCS format
- Submission via EasyChair
- All submissions will undergo peer review
- Accepted papers will be published in Springer LNCS, conditional on presentation
Important Dates
Paper submission: May 15, 2026
Notification: June 30, 2026
Camera-ready: July 15, 2026
Workshop: August 24–26, 2026
The workshop will feature keynote talks, including the 2026 Pierre Devijver Prize winner, as well as oral presentations and opportunities for discussion and networking. Further information and updates can be found at: https://ssspr2026.inf.unibe.ch
Open Graph Benchmark: https://ogb.stanford.edu/
Stanford Large Network Dataset Collection: https://snap.stanford.edu/data/
TU Datasets: https://chrsmrrs.github.io/datasets/
Papers with code: https://paperswithcode.com/
🆕 IoT Network Analysis datasets: https://mivia.unisa.it/datasets/iot-network-analysis/
🆕 Focus-CoIR dataset: https://github.com/vectorgrp/ziracle
Ca' Foscari University of Venice
Vice-chair