The paper Ioan Buciu, Ioan Nafornita, Non-negative Matrix Factorization Methods for Face Recognition under Extreme Lighting Variations, Proceedings of IEEE Iasi, Romania, July 9-10, 2009, ISBN 1-4244-0968-3. is cited by the following publications:

  1. Zhong-Yuan Zhang, Divergence Functions of Non negative Matrix Factorization: A Comparison Study, Communications in Statistics - Simulation and Computation, Vol. 40, Issue 10, 2011 Special Issue: Seventh Data Mining and Applied Statistics Workshop at Renmin University of China DOI: 10.1080/03610918.2011.589734, pp. 1594-1612, Available online: 09 Aug 2011 at www.tandfonline.com
  2. Symeon Nikitidis, Anastasios Tefas and Ioannis Pitas, Using Subclasses in Discriminant Non-negative Subspace Learning for Facial Expression Recognition, Proceedings of 19th European Signal Processing Conference (EUSIPCO 2011), August 29-September 2, 2011, Barcelona, Spain, available at eurasip.org
  3. LIU Chang, HE Kun, Generalized Discriminant Orthogonal Non-negative Matrix Factorization, Journal of Computational 2010 jofcis.com
  4. Yan Li Zhu, Jun Chen, Pei Xin Qu, A Novel Discriminant Non-Negative Matrix Factorization and its Application to Facial Expression Recognition Journal Advanced Materials Research (Volumes 143 - 144), Volume Smart Materials and Intelligent Systems Pages 129-133 DOI 10.4028/www.scientific.net/AMR.143-144.129(2011), available online since October 2010 at scientific.net
  5. Zhang, Y., Guo, J., Weighted fisher non-negative matrix factorization for face recognition, 2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009 1, art. no. 5362218, pp. 232-235