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Sunday, July 3, 2011

7th INTERNATIONAL SUMMER SCHOOL ON PATTERN RECOGNITION (ISSPR)

4-9 SEPTEMBER 2011, Plymouth, UK

http://pro.expressemail.in/link.php?M=1048308&N=3119&L=707&F=T

Registration deadline: 11th July, 2011

It is a pleasure to announce the Call for Participation to the 7th International Summer School on Pattern Recognition. I write to invite you, your colleagues, and students within your department to attend this event.

In 2010, the 6th ISSPR School held at Plymouth was a major success with over 90 participants. The major focus of 2011 summer school includes:

- A broad coverage of pattern recognition areas which will be taught in a tutorial style over five days by leading experts. The areas covered include statistical pattern recognition, Bayesian techniques, non-parametric and neural network approaches including Kernel methods, String matching, Evolutionary computation, Classifiers, Decision trees, Feature selection and Dimensionality reduction, Clustering, Reinforcement learning, and Markov models. For more details visit the event website.

- A number of prizes sponsored by Microsoft and Springer for best research demonstrated by participants and judged by a panel of experts. The prizes will be presented to the winners by Prof. Chris Bishop from Microsoft Research.

- Providing participants with knowledge and recommendations on how to develop and use pattern recognition tools for a broad range of applications.

10 Corporate Scholarships are available towards discounted registration fee for students till 11th July, 2011 so this is an excellent opportunity for participants to register at an affordable cost. The fee includes registration and accommodation plus meals at the event. The registration process is online through the school website www.patternrecognitionschool.com which has further details on registration fees. Please note that the number of participants registering each year at the summer school is high with a limited number of seats available, and therefore early registration is highly recommended.

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