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Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization Cover

Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization

By: Lin Bai,,  Yanbo Li and  Meng Hui  
Open Access
|Nov 2014

References

  1. 1. Putra, Kusuna Gede, Chua Chin-Seng. PCA-Based Image Recombination for Multimodal 2D+3D Faces Recognition. - Image and Vision Computing, Vol. 1, 2011, No 29, 306-316.10.1016/j.imavis.2010.12.003
  2. 2. Cong, Geng, Xudong Jiang. Hook. Face Recognition Based on the Multi-Scale Local Image Structures. - Pattern Recognition, Vol. 10, 2011, No 3, 2565-2575.10.1016/j.patcog.2011.03.011
  3. 3. Gutta, S., V. Philomin, M. Trajkovic. An Investigation into the Use of Partial-Faces for Face Recognition. - In: Proc. of 5th IEEE International Conference on Automatic Face and Gesture, Vol. 5, 2002, No 1, 33-38.
  4. 4. Gutta, S., H. Wechsler. Partial Faces for Face Recognition: Left Vs. Right Half. - In: Proc. of 10th International Conference on Computer Analysis of Images and Patterns, LNCS 2756, 2003, 630-637.
  5. 5. Koc, M., A. Barkanai. A New Solution to One Sample Problem in Face Recognition Using FLDA. - Applied Mathematics and Computation, Vol. 3, 2011, No 8, 10368-10376.10.1016/j.amc.2011.05.048
  6. 6. Turk, M., A. Pentland. Eigenfaces for Recognition. - Journal of Cognitive Neuroscience, Vol. 3, 1991, No 18, 71-86.10.1162/jocn.1991.3.1.7123964806
  7. 7. Belhumeur, P. N., J. P. Hespanha, D.J. Kriegman. Eigenfaces Vs. Fisherfaces: Recognition Using Class Specific Linear Projection. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, 1997, No 13, 711-720.10.1109/34.598228
  8. 8. Shye-Chorng, Kuo, Lin Cheng-Jian, Liao Jan-Ray. 3D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Network. - Expert Systems with Application, Vol. 3, 2011, No 3, 5406-5415.10.1016/j.eswa.2010.10.015
  9. 9. Xueming, Qian, Hua Xiansheng, Chen Ping. PLBP: An Effective Local Binary Patterns Texture Descriptor with Pyramid Representation. - Pattern Recognition, Vol. 5, 2011, No 7, 2502-2515.10.1016/j.patcog.2011.03.029
  10. 10. Lee, D. D., H.S. Seung. Learning the Parts of Objects with Nonnegative Matrix Factorization. - Nature, Vol. 401, 1999, No 1, 788-791.10.1038/4456510548103
  11. 11. Lee, D. D., H. S.Seung. Algorithms for Nonnegative Matrix Factorization. - In: Advin Neur.Inform. Proc. Syst. Cambridge, MIT Press, 2000, 556-562.
  12. 12. Gao, Tao, Ma Xiang. A Novel Face Description by 2DFLDA Supervised Projection Gradient Non-Negative Matrix Factorization. - Journal of Computational Information System, Vol. 3, 2011, No 4, 5307-5313.
  13. 13. Wang, J., M. A. Jabbar. Multiple Kernel Learning for Adaptive Graph Regularized Nonnegative Matrix Factorization. - National Association of Science and Technology for Development, Vol. 6, 2012, No 3, 115-122.10.2316/P.2012.778-049
  14. 14. Kai-B o, Duan, Keerthi S. Sathiya. Which Is the Best Multiclass SVM Method? - An Empirical Study. - In: Proc. of 60th International Workshop on Multiple Classier Systems.Lecture Notes in Computer Science, Vol. 3541, 2005, No 2, 278-286.
  15. 15. Gao, Tao, Ma Xiang, Wang Jiangan. Particle Occlusion Face Recognition Using Adaptively Weighted Local Gabor Filters. - Journal of Computational Information System, Vol. 5, 2012, No 6, 5271-5277.
DOI: https://doi.org/10.2478/cait-2014-0031 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 37 - 45
Published on: Nov 5, 2014
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Lin Bai,, Yanbo Li, Meng Hui, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.