Classification/Clustering/Metric Learning
Z.
Guo, Z. Zhang, E. P. Xing, C. Faloutsos,
Enhanced Max Margin
Learning on Multimodal Data Mining in a Multimedia
Database,
The Thirteenth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD
2007).
- Z.
Guo, Z. Zhang, E. P. Xing, C. Faloutsos,
A Max Margin Framework on
Image Annotation and Multimodal Image
Retrieval,
IEEE International Conference on Multimedia & Expo (ICME
2007).
- F. Li, Y. Yang and E. P. Xing, From Lasso regression to Feature vector machine, Advances in Neural Information Processing Systems. (NIPS2005).
- B. Zhao, E.P Xing, and A. Waibel, Bilingual Word Spectral Clustering for Statistical Machine Translation. ACL-Workshop-WPT, Ann Arbor MI, 2005.
- E.P. Xing and M.I Jordan, On semidefinite relaxation for normalized k-cut and connections to spectral clustering. Technical Report CSD-03-1265, Division of Computer Science, University of California, Berkeley, 2003. (ps)
- E.P. Xing, Feature Selection in Microarray Analysis, in D.P. Berrar, W. Dubitzky and M. Granzow (Eds.), A Practical Approach to Microarray Data Analysis, Kluwer Academic Publishers, 2003.
- E.P. Xing, A.Y. Ng, M.I. Jordan and S. Russell, Distance Metric Learning, with application to Clustering with side-information, Advances in Neural Information Processing Systems 16 (NIPS2002), (eds. Becker et al.) MIT Press, 521-528, 2002. (ps, data, code.)
- E.P. Xing, M.I. Jordan and R.M. Karp, Feature selection for high-dimensional genomic microarray data, Proceedings of the Eighteenth International Conference on Machine Learning, (ICML2001). (ps)
- E.P. Xing and R.M. Karp, CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts, Bioinformatics 17 Suppl 1:S306-15, 2001. (special issue for The Ninth International Conference on Intelligence Systems for Molecular Biology, (ISMB 2001)).