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Perspectives on Pattern Recognition
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Editors: Monica D. Fournier
Book Description:
Pattern recognition involves tasks such as pattern identification, feature extraction from them and pattern classification in categories, based on the extracted features. This book presents topical research in the study of pattern recognition, including pattern recognition applications in nonproliferation; pattern recognition of machine feature identifications; pattern recognition receptors of oral epithelia; construction damage assessment based on pattern recognition; Haken's pattern recognition algorithm as applied in engineering sciences; active contours for real time applications and quantitative bioimage analysis using pattern recognition. (Imprint: Nova Press)

Table of Contents:
Preface

Special Topics in Pattern Recognition with Applications in Nonprofileration
(T. Burr, M.S. Hamada, J. Song, M. Wolinsky, Statistical Sciences, Los Alamos National Laboratory, USA)pp.1-34

Manufacturing Feature Recognition for Mould and Die Designs: Current Status and Future Directions
(Jason Matthews, Xiao Li Qiu, Lian Ding, Innovative Design and Manufacturing, Research Centre (IdMRC), Department of Mechanical Engineering, University of Bath, Bath, United Kingdom, and others)pp.35-62

Pattern-Recognition Receptors of Oral Epithelia
(Whasun O. Chung, Henrik Dommisch, Maryam G. Rohani, Department of Oral Biology, University of Washington, Seattle, Washington, USA, and others)pp.63-86

Generating-Kernel Based Nonlinear Feature Extraction Methods
(Jian Yang, Chengjun Liu, School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, P.R. China, and others)pp.87-112

Damage Assessment Based on Pattern Recognition
(Hitoshi Furuta, Koichiro Nakatsu, Hiroshi Hattori, Department of Informatics, Kansai University, Takatsuki, Osaka, Japan, and others)pp.113-136

Artificial Intelligence Techniques for Assisting the Decision of Making or Postponing the Embryo Transfer
(Loris Nanni, Alessandra Lumini, Claudio Manna, Department of Electronic, Informatics and Systems (DEIS), Università di Bologna, Cesena, Italy, and others)pp.137-152

New Perspectives on a Pattern Recognition Algorithm Based on Haken’s Synergetic Computer Network- With a Comment on Artificial Intelligence and Physical Intelligence
(T.D. Frank, Center for the Ecological Study of Perception and Action, Department of Psychology, University of Connecticut, Storrs, Connecticut, USA)pp.153-172

Active Contours for Real Time Applications
(Andres Caro, Pablo G. Rodriguez, Marisa Duran, Teresa Antequera, Universidad de Extremadura, Caceres, Spain)pp.173-186

Class Distribution Estimation in Imprecise Domains Based on Supervised Learning
(Victor Gonzalez-Castro, Rocio Alaiz-Rodriguez, Enrique Alegre, Dpto. de Ingenieria, El'ectrica y de Sistemas y Automatica, Universidad de Leon, Campus de Vegazana, Leon, Spain, and others)pp.187-202

Perspectives on Pattern Recognition from ICA Mixture Modeling ^
(Addisson Salazar, Luis Vergara, Universidad Politecnica de Valencia, Instituto de Telecommunicaciones y Aplicaciones Multimedia, Valencia, Spain)pp.203-224

Quantitative Bioimage Analysis Using Pattern Recognition
(Lior Shamir, Laboratory of Genetics, NIA/NIH, Michigan Tech, Houghton, Michigan)pp.225-240



Index pp.241-250

   Series:
      Engineering Tools, Techniques and Tables
   Binding: Hardcover
   Pub. Date: 2011
   Pages: 250.pp
   ISBN: 978-1-61209-118-1
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Perspectives on Pattern Recognition