Analysis of Images, Social Networks and Texts
5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers
Herausgeber: Ignatov, D.I., Khachay, M., Labunets, V.G., Loukachevitch, N., Nikolenko, S.I., Panchenko, A., Savchenko, A.V., Vorontsov, K. (Eds.)
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This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.
The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine learning and data analysis; social networks; natural language processing; analysis of images and video.
- Inhaltsverzeichnis (33 Kapitel)
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An Ontology-Driven Approach to Electronic Document Structure Design
Seiten 3-16
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Data Augmentation for Training of Noise Robust Acoustic Models
Seiten 17-25
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Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2
Seiten 26-37
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Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study
Seiten 41-50
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On Complexity of Searching a Subset of Vectors with Shortest Average Under a Cardinality Restriction
Seiten 51-57
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Inhaltsverzeichnis (33 Kapitel)
- Download Vorwort 1 PDF (71.7 KB)
- Download Probeseiten 2 PDF (199 KB)
- Download Inhaltsverzeichnis PDF (84.4 KB)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Analysis of Images, Social Networks and Texts
- Buchuntertitel
- 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers
- Herausgeber
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- Dmitry I. Ignatov
- Mikhail Khachay
- Valeri G. Labunets
- Natalia Loukachevitch
- Sergey I. Nikolenko
- Alexander Panchenko
- Andrey V. Savchenko
- Konstantin Vorontsov
- Titel der Buchreihe
- Communications in Computer and Information Science
- Buchreihen Band
- 661
- Copyright
- 2017
- Verlag
- Springer International Publishing
- Copyright Inhaber
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-52920-2
- DOI
- 10.1007/978-3-319-52920-2
- Softcover ISBN
- 978-3-319-52919-6
- Buchreihen ISSN
- 1865-0929
- Auflage
- 1
- Seitenzahl
- XXIV, 372
- Anzahl der Bilder
- 105 schwarz-weiß Abbildungen
- Themen