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|a Fukunaga, Keinosuke.
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|a Introduction to statistical pattern recognition /
|c Keinosuke Fukunaga.
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|a 2nd ed.
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|a Boston :
|b Academic Press,
|c ©1990.
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|a 1 online resource (xiii, 591 pages) :
|b illustrations
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|a text
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|a Computer science and scientific computing
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Cover; Frontmatter; Chapter 1: Introduction; Chapter 2: Random Vectors and Their Properties; Chapter 3: Hypothesis Testing; Chapter 4: Parametric Classifiers; Chapter 5: Parameter Estimation; Chapter 6: Nonparametric Density Estimation; Chapter 7: Nonparametric Classification and Error Estimation; Chapter 8: Successive Parameter Estimation; Chapter 9: Feature Extraction and Linear Mapping for Signal Representation; Chapter 10: Feature Extraction and Linear Mapping for Classification; Chapter 11: Clustering; Backmatter; Back Cover.
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|a This revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Pattern perception
|x Statistical methods.
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|a Decision making
|x Mathematical models.
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|a Mathematical statistics.
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|a Decision Support Techniques
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|a Prise de décision
|x Modèles mathématiques.
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|a Perception des structures
|x Méthodes statistiques.
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|a Statistique mathématique.
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|a COMPUTERS
|x Optical Data Processing.
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|a Pattern perception
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|a Statistiek.
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|a Patroonherkenning.
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|a Perception des structures.
|2 ram
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|a Décision, prise de
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|2 ram
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|a Statistique mathématique.
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|a Pattern recognition
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|i Print version:
|a Fukunaga, Keinosuke.
|t Introduction to statistical pattern recognition.
|b 2nd ed.
|d Boston : Academic Press, ©1990
|z 0122698517
|z 9780122698514
|w (DLC) 89018195
|w (OCoLC)20637657
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