Robust Computer Vision: Theory and Applications
From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Mar...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2003
|
| Ausgabe: | 1st ed. 2003 |
| Schriftenreihe: | Computational Imaging and Vision
26 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision." |
| Beschreibung: | 1 Online-Ressource (XV, 215 p) |
| ISBN: | 9789401702959 |
| DOI: | 10.1007/978-94-017-0295-9 |
Internformat
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| 520 | |a From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision." | ||
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| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Data Structures and Information Theory | |
| 650 | 4 | |a Multimedia Information Systems | |
| 650 | 4 | |a Information Storage and Retrieval | |
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| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Data structures (Computer science) | |
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| dewey-full | 006.6 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-94-017-0295-9 |
| edition | 1st ed. 2003 |
| format | Electronic eBook |
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| id | DE-604.BV047064740 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9789401702959 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471852 |
| oclc_num | 1227482820 |
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| physical | 1 Online-Ressource (XV, 215 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer Netherlands |
| record_format | marc |
| series2 | Computational Imaging and Vision |
| spelling | Sebe, N. Verfasser aut Robust Computer Vision Theory and Applications by N. Sebe, M.S. Lew 1st ed. 2003 Dordrecht Springer Netherlands 2003 1 Online-Ressource (XV, 215 p) txt rdacontent c rdamedia cr rdacarrier Computational Imaging and Vision 26 From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision." Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Data Structures and Information Theory Multimedia Information Systems Information Storage and Retrieval Optical data processing Artificial intelligence Data structures (Computer science) Multimedia information systems Information storage and retrieval Lew, M.S. aut Erscheint auch als Druck-Ausgabe 9789048162901 Erscheint auch als Druck-Ausgabe 9781402012938 Erscheint auch als Druck-Ausgabe 9789401702966 https://doi.org/10.1007/978-94-017-0295-9 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Sebe, N. Lew, M.S Robust Computer Vision Theory and Applications Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Data Structures and Information Theory Multimedia Information Systems Information Storage and Retrieval Optical data processing Artificial intelligence Data structures (Computer science) Multimedia information systems Information storage and retrieval |
| title | Robust Computer Vision Theory and Applications |
| title_auth | Robust Computer Vision Theory and Applications |
| title_exact_search | Robust Computer Vision Theory and Applications |
| title_exact_search_txtP | Robust Computer Vision Theory and Applications |
| title_full | Robust Computer Vision Theory and Applications by N. Sebe, M.S. Lew |
| title_fullStr | Robust Computer Vision Theory and Applications by N. Sebe, M.S. Lew |
| title_full_unstemmed | Robust Computer Vision Theory and Applications by N. Sebe, M.S. Lew |
| title_short | Robust Computer Vision |
| title_sort | robust computer vision theory and applications |
| title_sub | Theory and Applications |
| topic | Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Data Structures and Information Theory Multimedia Information Systems Information Storage and Retrieval Optical data processing Artificial intelligence Data structures (Computer science) Multimedia information systems Information storage and retrieval |
| topic_facet | Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Data Structures and Information Theory Multimedia Information Systems Information Storage and Retrieval Optical data processing Artificial intelligence Data structures (Computer science) Multimedia information systems Information storage and retrieval |
| url | https://doi.org/10.1007/978-94-017-0295-9 |
| work_keys_str_mv | AT seben robustcomputervisiontheoryandapplications AT lewms robustcomputervisiontheoryandapplications |