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Pattern Recognition.
The only book to combine coverage of classical topics with the most recent methods just developed, making it a complete resource on using all the techniques in pattern recognition today.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier,
2008.
|
| Edición: | 4th ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mu 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn635293106 | ||
| 003 | OCoLC | ||
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| 008 | 100531s2008 vtu o 000 0 eng d | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Theodoridis, Sergios. | |
| 245 | 1 | 0 | |a Pattern Recognition. |
| 250 | |a 4th ed. | ||
| 260 | |a Burlington : |b Elsevier, |c 2008. | ||
| 300 | |a 1 online resource (981 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a Front Cover; Pattern Recognition; Copyright Page; Contents; Preface; Chapter 1 Introduction; Chapter 2 Classifiers Based on Bayes Decision Theory; Chapter 3 Linear Classifiers; Chapter 4 Nonlinear Classifiers; Chapter 5 Feature Selection; Chapter 6 Feature Generation I: Data Transformation and Dimensionality Reduction; Chapter 7 Feature Generation II; Chapter 8 Template Matching; Chapter 9 Context-Dependent Classification; Chapter 10 Supervised Learning: The Epilogue; Chapter 11 Clustering: Basic Concepts; Chapter 12 Clustering Algorithms I: Sequential Algorithms. | |
| 505 | 8 | |a Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index. | |
| 520 | |a The only book to combine coverage of classical topics with the most recent methods just developed, making it a complete resource on using all the techniques in pattern recognition today. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Optical pattern recognition. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Traitement d'images |x Techniques numériques. | |
| 650 | 6 | |a Reconnaissance optique des formes (Informatique) | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a digital imaging. |2 aat | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Image processing |x Digital techniques |2 fast | |
| 650 | 7 | |a Optical pattern recognition |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 700 | 1 | |a Koutroumbas, Konstantinos. | |
| 776 | 1 | |z 9781597492720 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=534973 |z Texto completo |
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| 994 | |a 92 |b IZTAP | ||