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.
| Основен автор: | Fukunaga, Keinosuke. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Boston :
Academic Press,
℗♭1990.
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| Издание: | 2nd ed. |
| Серия: |
Computer science and scientific computing.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=196121 |
| Подобни документи: |
Print version::
Introduction to statistical pattern recognition. |
Съдържание:
- 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.