HYBRID METHODS IN PATTERN RECOGNITION

Neuro-fuzzy systems: fuzzification of neural networks for classification problems, H. Ishibuchi and M. Nii; neural networks for structural pattern recognition - adaptive graphic pattern recognition -foundations and perspectives, G. Adorni et al; adaptive self-organizing map in the graph domain, S. Gunter and H. Bunke. Clustering for hybrid systems: from numbers to information granules - a study in unsupervised learning and feature analysis, A. Bargiela and W. Pedrycz. Combining neural networks and hidden Markov models: combination of hidden Markov models and neural networks for hybrid statistical pattern recognition, G. Rigoll; from character to sentences - a hybrid neuro-Markovian system for on-line handwriting recognition, T. Artieres et al. Multiple classifier systems: multiple classifier combination - lessons and next steps, T.K. Ho; design of multiple classifier systems, F. Roli and G. Giacinto; fusing neural networks through fuzzy integration, A. Verikas et al. Applications of hybrid systems: hybrid data mining methods in image processing, A. Klose and R. Kruse; robust fingerprint identification based on hybrid pattern recognition methods, D.-W. Jung and R.-H. Park; text categorization using learned document features, M. Junker et al.