TY  - BOOK
AU  - Fukunaga,Keinosuke
TI  - Introduction to statistical pattern recognition
T2  - Computer science and scientific computing
SN  - 9780080478654
U1  - 006.4 22
PY  - 1990///
CY  - Boston
PB  - Academic Press
KW  - Pattern perception
KW  - Statistical methods
KW  - Decision making
KW  - Mathematical models
KW  - Mathematical statistics
KW  - Prise de décision
KW  - Modèles mathématiques
KW  - Perception des structures
KW  - Méthodes statistiques
KW  - Statistique mathématique
KW  - COMPUTERS
KW  - Optical Data Processing
KW  - bisacsh
KW  - fast
KW  - Statistiek
KW  - gtt
KW  - Patroonherkenning
KW  - ram
KW  - Décision, prise de
KW  - Pattern recognition
N1  - 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
N2  - 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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