|
The fourth IAPR TC3Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2010, took place at the Smart Village Club close to the Nile University Smart Village Campus at the Smart Village, Cairo, Egypt. ANNPR 2010, provided a forum for international researchers in all areas of neural network based pattern recognition to present and discuss their results and to exchange their knowledge and ideas. ANNPR 2010 was sponsored by the Technical Commitee on Neural Networks and Computational Intelligence (TC3) of the International Association for Pattern Recognition (IAPR). The scope of TC3 includes computational intelligence approaches, evolutionary computing and artificial neural networks and their pattern recognition applications. For ANNPR 2010, a total of 42 papers were submitted from which 23 high-quality papers were selected for oral presentation. The ANNPR 2010 proceedings was published in the Springer LNCS/LNAI series.Participants from different parts of the world (Europe, Asia, North America, and Africa) attended the workshop. Like previous editions of ANNPR that were held in Paris (France 2008), Ulm (Germany, 2006), and Florence (Italy, 2003), this fourth workshop edition was very successful. During three days, the attendees presented their papers organized in multiple sessions including Supervised Learning, Application, Unsupervised Learning, and Visual Pattern Recognition. For each oral session the allotted time was 30 minutes to present the paper and for discussions. The attending researchers were very interested and had indeed plenty of questions and suggestions that lasted up into or even during the breaks or lunch. Additionally, three splendid invited talks were given during the program. The invited talk “Clustering very large dissimilarity data sets,“ which addressed the highly complicated task to cluster data sets that cannot be clustered at once due to their massive size, was given by Prof. Dr. Barbara Hammer (University Bielefeld, Germany). Prof. Dr. Horst Bunke (University Bern, Switzerland) gave an excellent talk titled “Classification and clustering of graphs based on dissimilarity space embedding,“ where he emphasized combining the graphy theory and kernel methods for clustering and classification as well. In the talk “Gaussian Processes for Classification,“ Prof. Dr. Amir Atiya (Cairo University, Egypt) suggested that the fitting of a multivariate gaussian distribution to the data is an experimentally-proven good way for classifying. The participants enjoyed a friendly welcome reception to the new Campus at the Nile University on the first day. As for the social program, there was a delightful banquet during a cruiser tour on the Nile. There was also a trip to the Great Pyramid of Giza and to the Sphinx, which was followed by the Light-and sound show. Furthermore an introduction to the Smart Village was given in 6th of October City. |
|
Conference Report: ANNPR 2010 |
|
Report prepared by Neamat El Gayar (Egypt) |
|
Proceedings of the conference have been published by Springer in the series Lecture Notes in Artificial Intelligence (Volume 5998)
Click on the image to go to the publisher’s web site for this volume. |
