PATTERN RECOGNITION FROM FACE IMAGES

[1] X. Li, J. Zhou, L. Tong, X. Yu, J. Guo, C. Zhao, Structured
Discriminative Nonnegative Matrix Factorization for Hyperspectral
Unmixing, IEEE International Conference on Image Processing, (2016), pp.
1848-1852.
[2] T. Ensari, J. Chorowski, and J. M. Zurada, “Correntropy-based
Document Clustering via Nonnegative Matrix Factorization”, in Proc. Int.
Conf. on Artificial Neural Networks, vol. 7553, (2012), pp. 347-354.
[3] T. Ensari, Character Recognition Analysis with Nonnegative Matrix
Factorization, International Journal of Computers, vol. 1, (2016), pp. 219-
222.
[4] C. Fevotte and J. Idier, “Algorithms for Nonnegative Matrix
Factorization with the â-Divergence”, Neural Computation, vol. 23, no. 9,
(2011), pp. 2421-2456.
[5] S. Choi, “Algorithms for orthogonal nonnegative matrix
factorization”, in Proc. Int. Joint Conf. on Neural Networks, Hong Kong,
(2008), pp. 1828-1832.
6] D. D. Lee and S. Seung, Learning the Parts of Objects by
Nonnegative Matrix Factorization, Nature 401, (1999), pp. 788-791.
[7] D. D. Lee and S. Seung, (2000), Algorithms for Nonnegative Matrix
Factorization, International Conference on Neural Information Processing.
[8] Alpaydın E.: Introduction to Machine Learning, The MIT Press,
USA, (2015).
[9] M. Hu, Y. Zheng, F. Ren, H. Jiang: Age estimation and gender
classification of facial images based on local directional pattern, IEEE
International Conf. on Cloud Computing and Intelligent Systems, (2014),
103-107.
[10] Wiesner V., Evers L.: Statistical data mining, University of Oxford,
(2004).
[11] T. Bissoon, S. Viriri: Gender classification using Face Recognition,
International Conference on Adaptive Science and Technology, (2013), 1-4.
Tolga ENSARİ
20
[12] W. Zhao, H. Ma, and N. Li, “A new non-negative matrix
factorization algorithm with sparseness constraints”, in Proc. the Int. Conf.
on Machine Learning and Cybernetics, (2011), pp 1449-1452.
[13] H. Liu, Z. Wu, X. Li, D. Cai, and T. S. Huang, “Constrained
nonnegative matrix factorization for image representation”, IEEE Trans. on
Pattern Analysis and Machine Intelligence, (2012), vol. 34, no. 7
[14] R. Gopalan, D. Jacobs, “Comparing and Combining Lighting
Insensitive Approaches for Face Recognition”, Journal of Computer Vision
and Image Understanding, (2010), pp 135-145, vol. 114, no. 1.
[15] S. Zafeiriou, A. Tefas, I. Buci, and I. Pitas, “Exploiting Discriminant
Information in Nonnegative Matrix Factorization with Application to
Frontal Face Verification”, IEEE Transactions on Neural Networks, (2006),
vol. 17, no. 3.
[16] D. Guillamet, J. Vitria, “Nonnegative Matrix Factorization for Face
Recognition”, Proc. of Catalonian Conference on Artificial Intelligence,
(2002).
[17] T. Feng, S. Z. Li, H. Y. Shum, H. J. Zhang, “Local Non-negative
Matrix Factorization as A Visual Representation”, Proc. of Int. Conf. on
Development and Learning, (2002).