Introduction to statistical pattern recognition / Keinosuke Fukunaga.
Material type:
TextSeries: Computer science and scientific computingPublication details: Boston : Academic Press, ©1990.Edition: 2nd edDescription: 1 online resource (xiii, 591 pages) : illustrationsContent type: - text
- computer
- online resource
- 9780080478654
- 0080478654
- 0122698517
- 9780122698514
- Pattern perception -- Statistical methods
- Decision making -- Mathematical models
- Mathematical statistics
- Decision Support Techniques
- Prise de décision -- Modèles mathématiques
- Perception des structures -- Méthodes statistiques
- Statistique mathématique
- COMPUTERS -- Optical Data Processing
- Decision making -- Mathematical models
- Mathematical statistics
- Pattern perception -- Statistical methods
- Statistiek
- Patroonherkenning
- Perception des structures
- Décision, prise de -- Modèles mathématiques
- Statistique mathématique
- Pattern recognition
- 006.4 22
- Q327 .F85 1990eb
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|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references and index.
Print version record.
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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