IAPR Pattern Recognition Resources web site

"We have recently completed the first round of development on the IAPR Pattern Recognition Education Resources web site:

http://homepages.inf.ed.ac.uk/rbf/IAPR/

This work was initiated by the Internation Association for Pattern Recognition (http://www.iapr.org/).
The goal was a web site that can support students, researchers and staff.
Of course, advances in pattern recognition and its subfields means that developing the site will be a never-ending process. However, we believe that the current site is
now well developed enough for general use.
What resources does the IAPR

Education web site have?
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The most important resources are for students, researchers and educators. These include lists with URLs to:

- Tutorials and surveys
- Explanatory text
- Online demos
- Datasets
- Book lists
- Free code
- Course notes
- Lecture slides
- Course reading lists
- Coursework/homework
- A list of course web pages at many universities

There are many areas for extension in the web pages, but they already link to more than 3000 resources.

These resources are subdivided into five areas. Of course, the boundaries are never distinct and we undoubtedly will also provoke a few dissenting opinions. However, we have tried to address the main work done by the IAPR community, as clustered into 3 core technology areas and 2 broad families of application areas:

1. Symbolic Pattern Recognition
2. Statistical Pattern Recognition
3. Machine Learning
4. 1D Signal Analysis
5. Computer vision/Image Processing/Machine Vision

Acknowledgements
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Initial website development was by Christos Papadopoulos and Apostolos Antonacopoulos. Content entry was Edinburgh University PhD students Kisuh Ahn, Edwin Bonilla, Lei Chen, Tim Hospedales, Gail Sinclair, and Narayanan Unny E, supervised by Bob Fisher. Content advice supplied by by the 2006-8 Education Committee: Bruce Maxwell, Sudeep Sarkar, Xiaoyi Jiang, Laurent Heutte and
Sergios Theodoridis. Funding was provided by the EC funded euCognition network, The British Machine Vision Association and the UK's EPSRC. "

Prof. Robert B. Fisher, School of Informatics, Univ. of Edinburgh