Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings
The second IAPR TC3 Workshop on Arti'cial Neural Networks in Pattern Recognition, ANNPR 2006, was held at the University of Ulm (Germany), - gust 31 - September 2, 2006. The Neural Networks and Computational Intel- gence (TC3) group is one of the 20 Technical Committees of the International AssociationforPatternRegognition(IAPR).ThescopeofTC3includesCom- tational Intelligence approaches, such as fuzzy systems, evolutionary computing and arti'cial neural networks in various pattern recognition applications. AN- NPR 2006 succeeded the outstanding ?rst ANNPR workshop held at the U- versity of Florence in September 2003 and focused on arti'cial neural networks inspired from pattern recognition tasks. In recent years, the ?eld of neural networks has matured considerably in both methodology and real-world applications. As re'ected in this book, art- cial neural networks in pattern recognition combine many ideas from machine learning,advancedstatistics,signalandimageprocessing,andstatisticalpattern recognition for solving complex real-world pattern recognition problems. High quality across such a diverse ?eld of research can only be achieved through a rigorous and selective review process. For this workshop, 49 papers were submitted out of which 26 were selected for inclusion in the proceedings. ANNPR 2006 featured research work in the areas of neural network learning - unsupervised, semi-supervised and supervised - support vector machines, mul- ple classi'er systems, pattern recognition in image processing, and data mining in bioinformatics.
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