Everyday, I read materials from internet about what I am interested in. It includes anything cool about computer science research, web2.0 and internet, open source & development. I use this blog to record my memory for daily reading. Hope it is can also useful for you guys!
Research - Bregman Divergence for Matrix Nearness
- J. V. Davis, B. Kulis, P. Jain, S. Sua, I. S. Dhillon, Information-Theoretic Metric Learning, In ICML 2007. [pdf] [code]
- I. S. Dhillon and J. A. Tropp, Matrix Nearness Problems with Bregman Divergences, SIAM Journal on Matrix Analysis and Applications, vol. 29:4, pages 1120-1146,
November 2007. [pdf] - J. Davis and I. S. Dhillon, Structured Metric Learning for High-Dimensional Problems, ACM SIGKDD2008.
- B. Kulis, M. Sustik, and I. S. Dhillon, Low-Rank Kernel Learning with Bregman Matrix Divergences, Journal of Machine Learning Research (JMLR), 2008. [pdf]
- Zhengdong Lu and Miguel
Á. Carreira-Perpiñán, Constrainted Spectual Clustering with Affinity Propagation, CVPR 2008. [pdf] [code]
- Frederick P. Brooks, No Silver Bullet: Essence and Accidents of Software Engineering. [pdf]
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