Introduction to statistical pattern recognition /
Collection : Computer science and scientific computing Mention d'édition :2nd ed. Publié par : Academic Press, (Boston :) Détails physiques : 1 online resource (xiii, 591 pages) : illustrations. ISBN :9780080478654; 0080478654; 0122698517; 9780122698514.
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Decision making
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Mathematical models.
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Mathematical statistics.
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Prise de décision
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Modèles mathématiques.
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Perception des structures
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Méthodes statistiques.
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Statistique mathématique.
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COMPUTERS
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Optical Data Processing.
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Decision making
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Mathematical models.
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Mathematical statistics.
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Pattern perception
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Statistical methods.
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Statistiek.
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Patroonherkenning.
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Perception des structures.
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Décision, prise de
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Modèles mathématiques.
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Statistique mathématique.
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Pattern recognition
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ebrary
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EBSCOhost
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MyiLibrary
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Referex
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ScienceDirect
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http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780122698514
- Full text available from Referex Electronics and Electrical Engineering
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Publisher description
| Type de document | Site actuel | Cote | Statut | Date de retour prévue | Code à barres | Réservations |
|---|---|---|---|---|---|---|
| Livre | La bibliothèque des sciences de l'ingénieur | 006.4 FUK (Parcourir l'étagère) | Disponible | 0000000024515 |
Includes bibliographical references and index.
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.
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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