Machine Learning for Visual Concept Recognition and Ranking for Images-Reference-Cited by-同舟云学术

Machine Learning for Visual Concept Recognition and Ranking for Images

Published:2014 Issue: Volume: Page:211-223
ISSN:1611-2482
Container-title:Towards the Internet of Services: The THESEUS Research Program
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Author:

Binder Alexander,Samek Wojciech,Müller Klaus-Robert,Kawanabe Motoaki

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-06755-1_17

Reference48 articles.

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2. F.R. Bach, G.R.G. Lanckriet, M.I. Jordan, Multiple kernel learning, conic duality, and the SMO algorithm, in Proceedings of the 21st International Conference on Machine Learning (ICML’04), Banff, ed. by C.E. Brodley. Volume 69 of ACM International Conference Proceeding Series (ACM, 2004). http://dblp.uni-trier.de/db/conf/icml/icml2004.html#BachLJ04

3. H. Bay, A. Ess, T. Tuytelaars, L.V. Gool, SURF: speeded up robust features. Comput. Vis. Image Underst. (CVIU) 110, 346–359 (2008)

4. A. Binder, M. Kawanabe, Enhancing recognition of visual concepts with primitive color histograms via non-sparse multiple kernel learning, in Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF’09), Corfu, Greece, ed. by C. Peters, B. Caputo, J. Gonzalo, G.J.F. Jones, J. Kalpathy-Cramer, H. Müller, T. Tsikrika. Volume 6242 of Lecture Notes in Computer Science (Springer, Berlin/Heidelberg/New York, 2009), pp. 269–276. http://dblp.uni-trier.de/db/conf/clef/clef2009-2.html#BinderK09

5. A. Binder, K.R. Müller, M. Kawanabe, On taxonomies for multi-class image categorization. Int. J. Comput. Vis. 99(3), 281–301 (2012a). http://dblp.uni-trier.de/db/journals/ijcv/ijcv99.html#BinderMK12

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