chapter 1 Introduction -- chapter 2 Supervised and Unsupervised Learning in Pattern Recognition -- chapter Nonparametric DecisionTheoretic Classiccation -- chapter 4 Nonparametric (Distribution-Free) Training of Discriminant Functions -- chapter 5 Statistical Discriminant Functions -- chapter 6 Clustering Analysis and Unsupervised Learning -- chapter 7 Dimensionality Reduction and Feature Selection -- chapter Part II Neural Networks for Pattern Recognition -- chapter 8 Multilayer Perceptron -- chapter 9 Radial Basis Function Networks -- chapter 10 Hamming Net and Kohonen Self-Organizing Feature Map -- chapter The Hopceld Model -- part Part III Data Preprocessing for Pictorial Pattern Recognition -- chapter 12 Preprocessing in the Spatial Domain -- chapter 13 Pictorial Data Preprocessing and Shape Analysis -- chapter 14 Transforms and Image Processing in the Transform Domain -- chapter 15 Wavelets and Wavelet Transform -- part Part IV Applications -- chapter 16 Exemplary Applications -- part PartV Practical Concerns of Image Processing and Pattern Recognition -- chapter 17 Computer System Architectures for Image Processing and Pattern Recognition.