Feature Space Warping Relevance Feedback with Transductive Learning

Author:

Borghesani Daniele,Coppi Dalia,Grana Costantino,Calderara Simone,Cucchiara Rita

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Bang, H.Y., Chen, T.H.: Feature space warping: an approach to relevance feedback. In: IEEE International Conference on Image Processing, pp. 968–971 (2002)

2. Belkin, B., Srebro, N., Zhou, X.: Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data. Neural Information Processing Systems (2009)

3. Belkin, M., Niyogi, P.: Semi-supervised learning on riemannian manifolds. Machine Learning 56(1-3), 209–239 (2004)

4. Chang, Y.J., Kamataki, K., Chen, T.H.: Mean shift feature space warping for relevance feedback. In: IEEE International Conference on Image Processing, pp. 1849–1852 (2009)

5. Crucianu, M., Ferecatu, M., Boujemaa, N.: Relevance feedback for image retrieval: a short survey. In: State of the Art in Audiovisual Content-Based Retrieval, Information Universal Access and Interaction including Datamodels and Languages DELOS2 Report (2004)

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