Image Retrieval and Annotation Using Maximum Entropy

Author:

Deselaers Thomas,Weyand Tobias,Ney Hermann

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Berger, A.L., Della Pietra, S.A., Della Pietra, V.J.: A maximum entropy approach to natural language processing. Computational Linguistics 22, 39–72 (1996)

2. Bender, O., Och, F., Ney, H.: Maximum entropy models for named entity recognition. In: 7th Conference on Computational Natural Language Learning, Edmonton, Canada, pp. 148–152 (2003)

3. Mauser, A., Bezrukov, I., Deselaers, T., Keysers, D.: Predicting customer behavior using naive bayes and maximum entropy – winning the data-mining-cup 2004. In: Informatiktage 2005 der Gesellschaft für Informatik, St. Augustin, Germany (Inpress, 2005)

4. Keysers, D., Och, F.J., Ney, H.: Maximum entropy and Gaussian models for image object recognition. In: Pattern Recognition, 24th DAGM Symposium, Zürich, Switzerland, pp. 498–506 (2002)

5. Lazebnik, S., Schmid, C., Ponce, J.: A maximum entropy framework for part-based texture and object recognition. In: IEEE International Conference on Computer Vision (ICCV 2005), Bejing, China, vol. 1, pp. 832–838 (2005)

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