模式識(shí)別機(jī)器智能與生物特征識(shí)別

內(nèi)容概要

　　本書(shū)介紹廣泛應(yīng)用的人工智能技術(shù)——模式識(shí)別及其應(yīng)用的最新進(jìn)展，收集了世界一流的模式識(shí)別、人工智能和生物特征識(shí)別技術(shù)領(lǐng)域?qū)＜揖帉?xiě)的31章內(nèi)容，涵蓋模式識(shí)別與機(jī)器智能、計(jì)算機(jī)視覺(jué)與圖像處理、人臉識(shí)別與取證、生物特征身份驗(yàn)證等多方面結(jié)合的研究。其應(yīng)用跨越多個(gè)領(lǐng)域，從工程、科學(xué)研究和實(shí)驗(yàn)，到生物醫(yī)學(xué)和醫(yī)學(xué)診斷，再到身份認(rèn)證和國(guó)土安全。此外，《本書(shū)還介紹了人類(lèi)行為的計(jì)算機(jī)建模和仿真。
　　本書(shū)是計(jì)算機(jī)與信息類(lèi)以及通信與控制類(lèi)專(zhuān)業(yè)研究生和相關(guān)研究人員的必備參考書(shū)。
　　P0trckS.P.Wang（王申培）美國(guó)東北大學(xué)教授，上海華東師大紫江學(xué)者，臺(tái)灣科技大學(xué)客座教授。

作者簡(jiǎn)介

編者：（美國(guó)）王申培

書(shū)籍目錄

Part I: Pattern Recognition and Machine Intelligence
　1 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
Part Ⅲ：Face Recognition and Forensics
PartⅣ：Biometric Authentication

章節(jié)摘錄

版權(quán)頁(yè)：插圖：As IEEE and ISIBM Distinguished Achieve-ment Awardee, Dr. Wang was on the faculty at University of Oregonand Boston University, and senior researcher at Southern Bell, GTE Labsand Wang Labs prior to his present position. Dr. Wang was Otto-Von-Guericke Distinguished Guest Professor of Magdeburg University, Germany,and iCORE （Informatics Circle of Research Excellence） visiting professorof University of Calgary, Canada, Honorary Advisor Professor for China'sSichuan University, Xiamen University, and Guangxi Normal University. Inaddition to his research experience at MIT AI Lab, Dr. Wang has been avisiting professor and invited to give lectures, do research and present papersin a number of countries and areas, from Europe, Asia and many univer-sities and industries in the U.S.A. and Canada. Dr. Wang has publishedover 160 technical papers and 26 books on Pattern Recognition, A.I. Bio-metrics and Imaging Technologies and has 30CR patents by US and Eu-rope Patent Bureaus. One of his books is so important and widely citedthat the USA Department of Homeland Security（DHS） uses it as refer-ence for Call For Proposals 2010.

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《模式識(shí)別、機(jī)器智能與生物特征識(shí)別(英文版)》：關(guān)鍵詞：模式識(shí)別，人工智能，生物識(shí)別、信息安全。

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