本書介紹廣泛應用的人工智能技術(shù)——模式識別及其應用的最新進展，收集了世界一流的模式識別、人工智能和生物特征識別技術(shù)領(lǐng)域?qū)＜揖帉懙?1章內(nèi)容，涵蓋模式識別與機器智能、計算機視覺與圖像處理、人臉識別與取證、生物特征身份驗證等多方面結(jié)合的研究。其應用跨越多個領(lǐng)域，從工程、科學研究和實驗，到生物醫(yī)學和醫(yī)學診斷，再到身份認證和國土安全。此外，《本書還介紹了人類行為的計算機建模和仿真。
本書是計算機與信息類以及通信與控制類專業(yè)研究生和相關(guān)研究人員的必備參考書。
P0trckS.P.Wang（王申培）美國東北大學教授，上海華東師大紫江學者，臺灣科技大學客座教授。
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
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