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.
| Κύριος συγγραφέας: | Fukunaga, Keinosuke. |
|---|---|
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Boston :
Academic Press,
c1990.
|
| Έκδοση: | 2nd ed. |
| Σειρά: |
Computer Science and Scientific Computing.
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| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9780080478654 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- 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;