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Exploiting the entire feature space with sparsity for automatic image annotation
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Authors:
Zhigang Ma
University of Trento, Trento, Italy
Yi Yang
Carnegie Mellon University, Pittsburgh, PA, USA
Feiping Nie
University of Texas at Arlington, Arlington, TX, USA
Jasper Uijlings
University of Trento, Trento, Italy
Nicu Sebe
University of Trento, Trento, Italy
2011 Article
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Published in:
· Proceeding
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Pages 283-292
ACM
New York, NY
, USA
©2011
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ISBN: 978-1-4503-0616-4
doi>
10.1145/2072298.2072336
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Tags:
algorithms
experimentation
feature evaluation and selection
image annotation
manifold learning
selection process
semi-supervised learning
sparse feature selection
statistical
theory
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