Soft Computing Approach to Pattern Recognition and Image Processing

Part I: multiple classifier systems, J. Kittler building decision trees from the Fourier spectrum of a tree ensemble, H. Kargupta clustering large data sets, M.N. Murty multi-objective variable string genetic classifier - application to remote sensing imagery, S. Bandyopadhyay et al. Part II: dissimilarity measures between fuzzy sets or fuzzy structures, K.R. Bhutani and A. Rosenfeld early vision -concepts and algorithms, V.D. Gesu self-organizing neural network for multi-level image segmentation, A. Ghosh and A. Sen geometric transformation by moment method with wavelet matrix, Y.Y. Tang et al new computationally efficient algorithms for video coding, T. Acharya and H.M. Kim soft computing for computational media aesthetics - analyzing video content for meaning, S. Chaudhury et al. Part III: towards granular multi-agent systems, A. Skowron granular computing and pattern recognition, W. Pedrycz case base maintenance - a soft computing perspective, S.C.K. Shiu. Part IV: autoassociative neural network models for pattern recognition tasks in speech and image, B. Yegnanarayana et al protein structure prediction using soft computing, S. Mitra et al pattern classification for biological data mining, S.B. Cho.