Tao Dacheng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 70-75). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Content-based Image Retrieval --- p.1 / Chapter 1.2 --- SVM based RF in CBIR --- p.3 / Chapter 1.3 --- DA based RF in CBIR --- p.4 / Chapter 1.4 --- Existing CBIR Engines --- p.5 / Chapter 1.5 --- Practical Applications of CBIR --- p.10 / Chapter 1.6 --- Organization of this thesis --- p.11 / Chapter Chapter 2 --- Statistical Learning Theory and Support Vector Machine --- p.12 / Chapter 2.1 --- The Recognition Problem --- p.12 / Chapter 2.2 --- Regularization --- p.14 / Chapter 2.3 --- The VC Dimension --- p.14 / Chapter 2.4 --- Structure Risk Minimization --- p.15 / Chapter 2.5 --- Support Vector Machine --- p.15 / Chapter 2.6 --- Kernel Space --- p.17 / Chapter Chapter 3 --- Discriminant Analysis --- p.18 / Chapter 3.1 --- PCA --- p.18 / Chapter 3.2 --- KPCA --- p.18 / Chapter 3.3 --- LDA --- p.20 / Chapter 3.4 --- BDA --- p.20 / Chapter 3.5 --- KBDA --- p.21 / Chapter Chapter 4 --- Random Sampling Based SVM --- p.24 / Chapter 4.1 --- Asymmetric Bagging SVM --- p.25 / Chapter 4.2 --- Random Subspace Method SVM --- p.26 / Chapter 4.3 --- Asymmetric Bagging RSM SVM --- p.26 / Chapter 4.4 --- Aggregation Model --- p.30 / Chapter 4.5 --- Dissimilarity Measure --- p.31 / Chapter 4.6 --- Computational Complexity Analysis --- p.31 / Chapter 4.7 --- QueryGo Image Retrieval System --- p.32 / Chapter 4.8 --- Toy Experiments --- p.35 / Chapter 4.9 --- Statistical Experimental Results --- p.36 / Chapter Chapter 5 --- SSS Problems in KBDA RF --- p.42 / Chapter 5.1 --- DKBDA --- p.43 / Chapter 5.1.1 --- DLDA --- p.43 / Chapter 5.1.2 --- DKBDA --- p.43 / Chapter 5.2 --- NKBDA --- p.48 / Chapter 5.2.1 --- NLDA --- p.48 / Chapter 5.2.2 --- NKBDA --- p.48 / Chapter 5.3 --- FKBDA --- p.49 / Chapter 5.3.1 --- FLDA --- p.49 / Chapter 5.3.2 --- FKBDA --- p.49 / Chapter 5.4 --- Experimental Results --- p.50 / Chapter Chapter 6 --- NDA based RF for CBIR --- p.52 / Chapter 6.1 --- NDA --- p.52 / Chapter 6.2 --- SSS Problem in NDA --- p.53 / Chapter 6.2.1 --- Regularization method --- p.53 / Chapter 6.2.2 --- Null-space method --- p.54 / Chapter 6.2.3 --- Full-space method --- p.54 / Chapter 6.3 --- Experimental results --- p.55 / Chapter 6.3.1 --- K nearest neighbor evaluation for NDA --- p.55 / Chapter 6.3.2 --- SSS problem --- p.56 / Chapter 6.3.3 --- Evaluation experiments --- p.57 / Chapter Chapter 7 --- Medical Image Classification --- p.59 / Chapter 7.1 --- Introduction --- p.59 / Chapter 7.2 --- Region-based Co-occurrence Matrix Texture Feature --- p.60 / Chapter 7.3 --- Multi-level Feature Selection --- p.62 / Chapter 7.4 --- Experimental Results --- p.63 / Chapter 7.4.1 --- Data Set --- p.64 / Chapter 7.4.2 --- Classification Using Traditional Features --- p.65 / Chapter 7.4.3 --- Classification Using the New Features --- p.66 / Chapter Chapter 8 --- Conclusion --- p.68 / Bibliography --- p.70