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ACQ: an automatic clustering and querying approach for large image databases
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Source International Multimedia Conference archive
Proceedings of the seventh ACM international conference on Multimedia (Part 2) table of contents
Orlando, Florida, United States
Pages: 95 - 98  
Year of Publication: 1999
ISBN:1-58113-239-5
Authors
Dantong Yu  Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY
Aidong Zhang  Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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P. S. Bradley, Usama Fayyad, and Gory R. eina. Scaling clustering algorithms to large databases. Ill Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pages 9-15, New York, August 1998.
 
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E.J. Pauwels, P. Fiddelaers, and L. Van Gool. DOG-based unsupervized clustering for CBIR. Ill Proceedings of the 2nd {nternational Conference on Visual Information Systems, pages 13-20, San Diego, California, December 1997.
 
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Collaborative Colleagues:
Dantong Yu: colleagues
Aidong Zhang: colleagues

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