Principal Component Analysis - Engineering Applications

00 preface_ Principal Component Analysis - Engineering Applications......Page 1 01 Principal Component Analysis – A Realization of Classification Success in Multi Sensor Data Fusion......Page 13 02 Applications of Principal Component Analysis (PCA) in Materials Science......Page 37 03 Methodology for Optimization of Polymer Blends Composition......Page 53 04 Applications of PCA to the Monitoring of Hydrocarbon Content in Marine Sediments by Means of Gas Chromatographic Measurements......Page 77 05 Application of Principal Component Analysis in Surface Water Quality Monitoring......Page 95 06 EM-Based Mixture Models Applied to Video Event Detection......Page 113 07 Principal Component Analysis in the Development of Optical and Imaging Spectroscopic Inspections for Agricultural / Food Safety and Quality......Page 137 08 Application of Principal Components Regression for Analysis of X-Ray Diffraction Images of Wood......Page 157 09 Principal Component Analysis in Industrial Colour Coating Formulations......Page 171 10 Improving the Knowledge of Climatic Variability Patterns Using Spatio-Temporal Principal Component Analysis......Page 187 11 Automatic Target Recognition Based on SAR Images and Two-Stage 2DPCA Features......Page 211