Useful links

Click on one of the categories below to go quickly to the corresponding link section.

Categories:

Benchmarking and data sets


Algorithms for Graph Matching


Graph Drawing


Combinatorial Maps


Graph kernels


Other TCs

  • STRUCTURAL & SYNTACTICAL PATTERN RECOGNITION (TC2)
  • IAPR's Technical Committee 2 on SSPR promotes interaction among researchers working on Structural and Syntactical Pattern Recognition (SSPR).

  • Graphics Recognition (TC10)
  • Graphics Recognition is an exciting field of pattern recognition. Along with optical character recognition (OCR) and document layout analysis, it forms the broader area of document image analysis and recognition. IAPR's Technical Committee 10 on Graphics Recognition promotes interaction among researchers working in document image analysis in general, and graphics recognition in particular.

  • Reading systems (TC11)
  • Technical Committee 11 is concerned with theory and application of Reading Systems. The goal is to understand and develop systems which are able to analyze media containing character symbols and will return an encoded representation of the text content and structure.

    This area covers research in the off-line recognition of printed texts and handwritten material, research on the automatic on-line recognition of handwriting as in pen-computing applications, as well as research in the analysis of electronic documents such as web pages. Applications include digital libraries, pen-based computing, check and mail reading, signature verification, web mining and content repurposing, web security using human interactive proofs, textual content analysis in videos, and historical document preservation and archiving.

    The research topics cover all levels of processing, starting with the image or planar coordinates delivered by sensory technology, the necessary image and signal-processing stages, the subsequent segmentation and normalization stages, to feature extraction and selection, classification methods, statistical and syntactical pattern recognition and machine learning techniques.


Various Links

  • Simbad FP7 European Projet
  • This project aims at undertaking a thorough study of several aspects of purely similarity-based pattern analysis and recognition methods, from the theoretical, computational, and applicative perspective. It aims at covering a wide range of problems and perspectives. It will consider both supervised and unsupervised learning paradigms, generative and discriminative models, and our interest will range from purely theoretical problems to real-world practical applications.

  • GbR'2011 report
  • This report documents the discussion about challenges in graph-based representations held at the 8th IAPR - TC-15 workshop on graph-based representations in pattern recognition. The workshop took place in M√ľnster (Germany) from the 18th to the 20th of May 2011. The discussion was initiated by four presenters (Milan Sonka, Luc Brun, Edwin Hancock, Pasquale Foggia) and moderated by Horst Bunke.

  • Machine learning open source software
  • Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide range of applications. Inspired by similar efforts in bioinformatics (BOSC) or statistics (useR), the aim of mloss community is to build a forum for open source software in machine learning.