Machine Learning and Statistical Modeling Approaches to Image Retrieval:
In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieva...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2004
|
Ausgabe: | 1st ed. 2004 |
Schriftenreihe: | The Information Retrieval Series
14 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well |
Beschreibung: | 1 Online-Ressource (XVII, 182 p) |
ISBN: | 9781402080357 |
DOI: | 10.1007/b116104 |
Internformat
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520 | |a In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well | ||
650 | 4 | |a Optics, Lasers, Photonics, Optical Devices | |
650 | 4 | |a Multimedia Information Systems | |
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650 | 4 | |a Management of Computing and Information Systems | |
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650 | 4 | |a Image Processing and Computer Vision | |
650 | 4 | |a Lasers | |
650 | 4 | |a Photonics | |
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Datensatz im Suchindex
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author | Chen, Yixin Li, Jia Wang, James Z. |
author_facet | Chen, Yixin Li, Jia Wang, James Z. |
author_role | aut aut aut |
author_sort | Chen, Yixin |
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bvnumber | BV047064600 |
collection | ZDB-2-SCS |
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dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.36 |
dewey-search | 621.36 |
dewey-sort | 3621.36 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
discipline_str_mv | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/b116104 |
edition | 1st ed. 2004 |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:22Z |
indexdate | 2024-07-10T09:01:35Z |
institution | BVB |
isbn | 9781402080357 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471712 |
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physical | 1 Online-Ressource (XVII, 182 p) |
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publisher | Springer US |
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series2 | The Information Retrieval Series |
spelling | Chen, Yixin Verfasser aut Machine Learning and Statistical Modeling Approaches to Image Retrieval by Yixin Chen, Jia Li, James Z. Wang 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XVII, 182 p) txt rdacontent c rdamedia cr rdacarrier The Information Retrieval Series 14 In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well Optics, Lasers, Photonics, Optical Devices Multimedia Information Systems Artificial Intelligence Management of Computing and Information Systems Statistics, general Image Processing and Computer Vision Lasers Photonics Multimedia information systems Artificial intelligence Management information systems Computer science Statistics Optical data processing Li, Jia aut Wang, James Z. aut Erscheint auch als Druck-Ausgabe 9781475779301 Erscheint auch als Druck-Ausgabe 9781402080340 Erscheint auch als Druck-Ausgabe 9781475779295 https://doi.org/10.1007/b116104 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Chen, Yixin Li, Jia Wang, James Z. Machine Learning and Statistical Modeling Approaches to Image Retrieval Optics, Lasers, Photonics, Optical Devices Multimedia Information Systems Artificial Intelligence Management of Computing and Information Systems Statistics, general Image Processing and Computer Vision Lasers Photonics Multimedia information systems Artificial intelligence Management information systems Computer science Statistics Optical data processing |
title | Machine Learning and Statistical Modeling Approaches to Image Retrieval |
title_auth | Machine Learning and Statistical Modeling Approaches to Image Retrieval |
title_exact_search | Machine Learning and Statistical Modeling Approaches to Image Retrieval |
title_exact_search_txtP | Machine Learning and Statistical Modeling Approaches to Image Retrieval |
title_full | Machine Learning and Statistical Modeling Approaches to Image Retrieval by Yixin Chen, Jia Li, James Z. Wang |
title_fullStr | Machine Learning and Statistical Modeling Approaches to Image Retrieval by Yixin Chen, Jia Li, James Z. Wang |
title_full_unstemmed | Machine Learning and Statistical Modeling Approaches to Image Retrieval by Yixin Chen, Jia Li, James Z. Wang |
title_short | Machine Learning and Statistical Modeling Approaches to Image Retrieval |
title_sort | machine learning and statistical modeling approaches to image retrieval |
topic | Optics, Lasers, Photonics, Optical Devices Multimedia Information Systems Artificial Intelligence Management of Computing and Information Systems Statistics, general Image Processing and Computer Vision Lasers Photonics Multimedia information systems Artificial intelligence Management information systems Computer science Statistics Optical data processing |
topic_facet | Optics, Lasers, Photonics, Optical Devices Multimedia Information Systems Artificial Intelligence Management of Computing and Information Systems Statistics, general Image Processing and Computer Vision Lasers Photonics Multimedia information systems Artificial intelligence Management information systems Computer science Statistics Optical data processing |
url | https://doi.org/10.1007/b116104 |
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