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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)

模式識(shí)別、機(jī)器智能與生物特征識(shí)別(英文版)

定 價(jià):¥138.00

作 者: (美)王申培 編
出版社: 高等教育出版社
叢編項(xiàng):
標(biāo) 簽: 人工智能

ISBN: 9787040331394 出版時(shí)間: 2011-07-01 包裝: 精裝
開本: 16開 頁(yè)數(shù): 866 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  本書介紹廣泛應(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)<揖帉懙?1章內(nèi)容,涵蓋模式識(shí)別與機(jī)器智能、計(jì)算機(jī)視覺與圖像處理、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,《本書還介紹了人類行為的計(jì)算機(jī)建模和仿真。本書是計(jì)算機(jī)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(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

暫缺《模式識(shí)別、機(jī)器智能與生物特征識(shí)別(英文版)》作者簡(jiǎn)介

圖書目錄

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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