 |
|
| PATTERN RECOGNITION
| |
| | |
|
|
To order this title, and for more information, click here
Fourth Edition
By
Sergios Theodoridis, Department of Informatics and Telecommunications, University of Athens, Greece
Konstantinos Koutroumbas, Institute for Space Applications & Remote Sensing, National Observatory of Athens, Greece
Audience
Signal processing, computing and applied mathematics students taking graduate courses on pattern recognition and machine learning. R&D
engineers in image and signal processing; university researchers in image and signal processing
Contents
1. INTRODUCTION
2. CLASSIFIERS BASED ON BAYES DECISION THEORY
3. LINEAR CLASSIFIERS
4. NONLINEAR CLASSIFIERS
5. FEATURE SELECTION
6.
FEATURE GENERATION I: DATA TRANSFORMATION AND
DIMENSIONALITY REDUCTION
7. FEATURE GENERATION II
8. TEMPLATE MATCHING
9. CONTEXT DEPENDENT
CLASSIFICATION
10. SYSTEM EVALUATION
11. CLUSTERING: BASIC CONCEPTS
12. CLUSTERING ALGORITHMS: ALGORITHMS L SEQUENTIAL
13. CLUSTERING
ALGORITHMS II: HIERARCHICAL
14. CLUSTERING ALGORITHS III: BASED ON FUNCTION OPTIMIZATION
15. CLUSTERING ALGORITHMS IV: CLUSTERING
16. CLUSTER VALIDITY
| Bibliographic details |
e-Book, 984 pages, publication date: OCT-2008
ISBN-13: 978-0-08-094912-3
Imprint: ACADEMIC PRESS
|
| Price and Ordering |
Price:
GBP 49.99
USD 99.95
EUR 73.95
|  |
Books and book related electronic products are priced in US dollars (USD), euro (EUR), and Great Britain Pounds (GBP). USD prices apply to the Americas and Asia Pacific. EUR prices apply in Europe and the Middle East. GBP prices apply to the UK and all other countries.
|
See also information about conditions of sale & ordering procedures, and links to our regional sales offices.
|
034/325
Last update: 10 Sep 2009
|
|
| |
| | |
|
|
| |
Home | Elsevier Sites | Privacy Policy | Terms and Conditions | Feedback | Site Map | A Reed Elsevier Company