Effective Heterogeneous Similarity Measure with Nearest Neighbors for Cross-Media Retrieval
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-27355-1_30
Reference22 articles.
1. Carneiro, G., Chan, A., Moreno, P., Vasconcelos, N.: Supervised learning of semantic classes for image annotation and retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(3), 394–410 (2007)
2. Escalante, H., Hérnadez, C., Sucar, L., Montes, M.: Late fusion of heterogeneous methods for multimedia image retrieval. In: Proceeding of the 1st ACM International Conference on Multimedia Information Retrieval (2008)
3. Greenspan, H., Goldberger, J., Mayer, A.: Probabilistic space-time video modeling via piecewise gmm. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(3), 384–396 (2004)
4. He, X., Ma, W.Y., Zhang, H.J.: Learning an image manifold for retrieval. In: ACM international Conference on Multimedia (2004)
5. Jeon, J., Lavrenko, V., Manmatha, R.: Automatic image annotation and retrieval using cross-media relevance models. In: Proceedings of the 26th Annual International ACM SIGIR Conference (2003)
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