Part I: Pattern Recognition and Machine Intelligence
　1 A Review of Applications of Evolutionary Algorithms in PatternRecognition
　　1.1 Introduction
　　1.2 Basic Notions of Evolutionary Algorithms
　　1.3 A Review of EAs in Pattern Recognition
　　1.4 Future Research Directions
　　1.5 Conclusions
　　References
　2 Pattern Discovery and Recognition in Sequences
　　2.1 Introduction
　　2.2 Sequence Patterns and Pattern Discovery-A Brief Review.
　　2.3 Our Pattern Discovery Framework
　　2.4 Conclusion
　　References
　3 A Hybrid Method of Tone Assessment for Mandarin CALLSystem

Part I: Pattern Recognition and Machine Intelligence
　1 A Review of Applications of Evolutionary Algorithms in PatternRecognition
　　1.1 Introduction
　　1.2 Basic Notions of Evolutionary Algorithms
　　1.3 A Review of EAs in Pattern Recognition
　　1.4 Future Research Directions
　　1.5 Conclusions
　　References
　2 Pattern Discovery and Recognition in Sequences
　　2.1 Introduction
　　2.2 Sequence Patterns and Pattern Discovery-A Brief Review.
　　2.3 Our Pattern Discovery Framework
　　2.4 Conclusion
　　References
　3 A Hybrid Method of Tone Assessment for Mandarin CALLSystem
　　3.1 Introduction
　　3.2 Related Work
　　3.3 Proposed Approach
　　3.4 Experimental Procedure and Analysis
　　3.5 Conclusions
　　References
　4 Fusion with Infrared Images for an Improved Performance andPerception
　　4.1 Introduction
　　4.2 The Principle of Infrared Imaging
　　4.3 Fusion with Infrared Images
　　4.4 Applications
　　4.5 Summary
　　References
　5 Feature Selection and Ranking for Pattern Classification inWireless Sensor Networks
　　5.1 Introduction
　　5.2 General Approach
　　5.3 Sensor Ranking
　　5.4 Experiments
　　5.5 Summary, Discussion and Conclusions
　　References
　6 Principles and Applications of RIDED-2D-A Robust Edge DetectionMethod in Range Images
　　6.1 Introduction
　　6.2 Definitions and Analysis
　　6.3 Principles of Instantaneous Denoising and EdgeDetection
　　6.4 Experiments and Evaluations
　　6.5 Discussions and Applications
　　6.6 Conclusions and Prospects
　　References
　……
Part Ⅱ: Computer Vision and Image Processing Lens ShadingCorrection for Dirt Detection
Part Ⅲ：Face Recognition and Forensics
PartⅣ：Biometric Authentication