作品目錄
Part I: Pattern Recognition and Machine Intelligence1 A Review of Applications of Evolutionary Algorithms in Pattern Recognition
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
CALL System
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 and Perception
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 in Wireless 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 Detection Method in Range Images
6.1 Introduction
6.2 Definitions and Analysis
6.3 Principles of Instantaneous Denoising and Edge Detection
6.4 Experiments and Evaluations
6.5 Discussions and Applications
6.6 Conclusions and Prospects
References
Part Ⅱ: Computer Vision and Image Processing Lens Shading Correction for Dirt Detection
7.1 Introduction
7.2 Background
7.3 Our Proposed Method
7.4 Experimental Results
7.5 Conclusions
References
Using Prototype-Based Classification for Automatic Knowledge Acquisition
8.1 Introduction
8.2 Prototype-Based Classification
8.3 Methodology
8.4 Application
8.5 Results
8.6 Conclusion
References
9 Tracking Deformable Objects with Evolving Templates forReal-Time Machine Vision
9.1 Introduction
9.2 Problem Formulation
9.3 Search Framework for Computing Template Position
9.4 Updating Framework for Computing Template Changes
……
Part Ⅲ：Face Recognition and Forensics
PartⅣ：Biometric Authentication
