The materials published below are partially based upon work supported by the National Science Foundation under Grant No. 0101244. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

 

[1] Y. Song, W. Wang, and A. Zhang, "Analyzing Scenery Images by Monotonic Tree", ACM/Springer Multimedia Systems Journal, p. 495, vol. 8, (2003).

[2] Y. Song, W. Wang, and A. Zhang, "Automatic Annotation and Retrieval of Images", the World Wide Web (WWW) Journal, p. 209, vol. 6, (2003).

[3] Y. Shi, Y. Song and A. Zhang, "A Shrinking-Based Clustering Approach for Multi-Dimensional Data", IEEE Transactions on Knowledge and Data Engineering, accepted.

[4] Y. Wu and A. Zhang, "Interactive Pattern Analysis for Relevance Feedback", ACM/Springer Multimedia Systems Journal, p. 41, vol. 10, (2004).

[5] A. Zhang, Y. Song, and R. Aygun, "Feature-based Retrieval in Visual Database Systems", book chapter, Editor(s): D. Feng, W. C. Siu and H.J. Zhang Collection: Multimedia Information Retrieval and Management, Springer, pp. 226-245, 2003.

[6] Y. Wu and A. Zhang, "An Adaptive Classification Method for Multimedia Retrieval", proceedings of the 2003 IEEE International Conference on Multimedia and Expo (ICME), Baltimore, MD, July 6-9.

[7] W. Wang, Y. Song, and A. Zhang, "Identification of Objects from Image Regions," proceedings of 2003 IEEE International Conference on Multimedia and Expo (ICME), Baltimore, MD, July 6-9.

[8] Y. Wu and A. Zhang, "Adaptive Pattern Discovery for Interactive Multimedia Retrieval", proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Madison, Wisconsin, June 16-22.

[9] Y. Wu and A. Zhang, "Feature Selection for Classifying High-Dimensional Numerical Data", proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR04), Washington, DC, 27th June - 2nd July, 2004.

[10] Y. Shi, Y. Song and A. Zhang, "A Shrinking-Based Approach for Multi-Dimensional Data Analysis", proceedings of the 29th International Conference on Very Large Data Bases (VLDB03), Berlin, Germany, September 9-12, 2003.

[11] D. Ma and A. Zhang, "An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise", Proceedings of The Fourth IEEE International Conference on Data Mining (ICDM2004) Brighton, UK, November 01 - 04.