Toward a higher-level visual representation for object-based image retrieval

Author:

Zheng Yan-Tao,Neo Shi-Yong,Chua Tat-Seng,Tian Qi

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference34 articles.

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2. Baker, L., McCallum, A.: Distributional clustering of words for text classification. In: Croft, W.B., Moffat, A., van Rijsbergen, C.J., Wilkinson, R., Zobel, J. (eds.) Proceedings of ACM SIGIR, pp. 96–103. Melbourne, AU (1998). citeseer.ist.psu.edu/baker98distributional.html

3. Bekkerman, R., El-Yaniv, R., Tishby, N., Winter, Y.: Distributional word clusters vs. words for text categorization. J. Mach. Learn. Res. G 3, 1183–1208 (2003)

4. Carson, C., Belongie, S., Greenspan, H., Malik, J.: Blobworld: Image segmentation using expectation-maximization and its application to image querying. IEEE Trans. Pattern Anal. Mach. Intell. 24(8), 1026–1038 (2002)

5. Dance, C., Willamowski, J., Fan, L., Bray, C., Csurka, G.: Visual categorization with bags of keypoints. In: Proceedings of ECCV Workshop on Statistical Learning in Computer Vision (2004)

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