1. M. Berry, M. Browne, A. Langville, P. Pauca, and R. Plemmons, “Algorithms and Applications for Approximate Nonnegative Matrix Factorization, ” Comput. Stat. Data Anal., 2006 (in press).
2. A. Cichocki, R. Zdunek, and S. Amari, “Csiszár’s Divergence for Non-negative Matrix Factorization: Family of New Algorithms,” in Proc. 6th Int. Conf. ICA and BSS, Charleston SC, March 5–8, 2006, Springer LNCS, vol. 3889, pp. 32–39.
3. D. Donoho and V. Stodden, “When Does Non-negative Matrix Factorization Give a Correct Decomposition into Parts?” in Proc. Neural Information Processing Systems, vol. 16, 2003, pp. 1141–1149.
4. I. S. Dhillon and S. Sra, “Generalized Nonnegative Matrix Approximations with Bregman Divergences,” in Proc. NIPS, Vancouver, BC, 2005.
5. C. Gobinet, E. Perrin, and R. Huez, “Application of Nonnegative Matrix Factorization to Fluorescence Spectroscopy,” in Proc. EUSIPCO 2004, Vienna, Austria, Sept. 6–10, 2004.