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Introduction to statistical pattern recognition /

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fukunaga, Keinosuke
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Academic Press, ©1990.
Edición:2nd ed.
Colección:Computer science and scientific computing.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.