00 preface_ Principal Component Analysis - Engineering Applications......Page 1
01 Principal Component Analysis โ 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