Web Image Gathering with Probabilistic Models

Author:

Yanai Keiji1

Affiliation:

1. Department of Computer Science, The University of Electro-Communications

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference30 articles.

1. [Barnard 01] Barnard, K. and Forsyth, D.: Learning the Semantics of Words and Pictures, in Proc. of IEEE International Conference on Computer Vision, pp.408-415 (2001)

2. 10.1162/153244303322533214

3. [Barnard 03b] Barnard, K., Duygulu, P., Guru, R., Gabbur, P., and Forsyth, D.: The effects of segmentation and feature choice in a translation model of object recognition, in Proc. of IEEE Computer Vision and Pattern Recognition, pp.675-682 (2003)

4. [Belongie 97] Belongie, S., Carson, C., Greenspan, H., and Malik, J.: Recognition of Images in Large Databases Using a Learning Framework, Technical Report 07-939, UC Berkeley CS Tech Report (1997)

5. [Cai 04] Cai, D., He, X., Li, Z., Ma, W., and J.R., W.: Hierarchical clustering of WWW image search results using visual textual and link informataion, in Proc. of ACM International Conference Multimedia, pp. 660-667 (2004)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fashion-related Image Gathering and Retrieval Using Meta Data generated at Image Sharing Site;Transactions of the Japanese Society for Artificial Intelligence;2010

2. Optimization of Similarity Evaluation Algorithm Using Relevance Feedback in Content-Based Image Retrieval;Journal of Japan Society for Fuzzy Theory and Intelligent Informatics;2007

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