SOFT COMPUTING APPROACH 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.