Introduction to statistical pattern recognition /

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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.

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Fukunaga, Keinosuke
Format: Électronique eBook
Langue:Inglés
Publié: Boston : Academic Press, ©1990.
Édition:2nd ed.
Collection:Computer science and scientific computing.
Sujets:
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.
Pattern recognition
Accès en ligne:Texto completo
Table des matières:
  • 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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