模式识别机器智能与生物特征识别

出版时间:2011-7  出版社:高等教育出版社  作者:王申培 编  页数:866  
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内容概要

  本书介绍广泛应用的人工智能技术——模式识别及其应用的最新进展,收集了世界一流的模式识别、人工智能和生物特征识别技术领域专家编写的31章内容,涵盖模式识别与机器智能、计算机视觉与图像处理、人脸识别与取证、生物特征身份验证等多方面结合的研究。其应用跨越多个领域,从工程、科学研究和实验,到生物医学和医学诊断,再到身份认证和国土安全。此外,《本书还介绍了人类行为的计算机建模和仿真。
  本书是计算机与信息类以及通信与控制类专业研究生和相关研究人员的必备参考书。
  P0trckS.P.Wang(王申培)美国东北大学教授,上海华东师大紫江学者,台湾科技大学客座教授。

作者简介

编者:(美国)王申培

书籍目录

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

章节摘录

版权页:插图: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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《模式识别、机器智能与生物特征识别(英文版)》:关键词:模式识别,人工智能,生物识别、信息安全。

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