Pattern Recognition And Image Preprocessing

Part 1 - Pattern Recognition......Page 22
1. Introduction......Page 24
2. Supervised and Unsuperviesd Learning in Pattern Recognition......Page 50
3. Nonparametric Decision Theoretic Classfication......Page 54
4. Nonparametric (Distribution-Free) Training of Discriminant Functions......Page 83
5. Statistical Discriminant Functions......Page 103
6. Clustering Analysis and Unsupervised Learning......Page 133
7. Dimensionality Reduction and Feature Selection......Page 189
7.3 Canonical Analysis and its Applications to Remote Sensing Problems......Page 193
Part II - Neural Networks for Pattern Recognition......Page 218
8. Multilayer Perceptron......Page 222
9. Radial Basis Function Networks......Page 246
10 Hamming Net and Kohonen Self-Organizing Feature Map......Page 257
11. The hopfield Model......Page 277
Part III - Data Preprocessing for Pictorial Pattern Recognition......Page 290
12. Preprocessing in the Spatial Domain......Page 292
13. Pictorial Data Preprocessing and Shape Analysis......Page 384
14. Transforms and Image Processing in the Transform Domain......Page 422
15. Wavelets and Wavelet Transfom......Page 502