Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3722-3727

  Zhao, Hao Xin ^a   Xing, Hong Jie ^a   Wang, Xi Zhao ^a  

^a HEBEI UNIVERSITY   (China)

Author keywords

2DLDA; Dimensionality reduction; Face recognition; Feature extraction; Fuzzy rough sets

Indexed keywords

2DLDA; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; FACE DATABASE; FUZZY-ROUGH SETS; LINEAR DISCRIMINANT ANALYSIS; REDUNDANT INFORMATIONS;

FEATURE EXTRACTION; IMAGE RETRIEVAL; ROUGH SET THEORY;

FACE RECOGNITION;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DATA BASE; DISCRIMINANT ANALYSIS; FUZZY SYSTEM; IMAGE PROCESSING; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; TWO DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS;

EID: 84866551073     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.06.020     Document Type: Article

References (16)

1. L. van der Maaten, E. Postma, J. van den Herik, Dimensionality Reduction: A Comparative Review, Technique Report, Tilburg Centre for Creative Computing, Tilburg University, 2009.
2. Tong D.L., Mintram R. Genetic algorithm-neural network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selection. International Journal of Machine Learning and Cybernetics 2010, 1:75-87.
3. Belhumeur P.N., Hespanha J.P., Kriegman D.J. Eigenface vs. Fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997, 19:711-720.
4. Dai D.Q., Yuen P.C. Regularized discriminant analysis and its application to face recognition. Pattern Recognition 2003, 36:845-847.
5. Yang J., Zhang D., Frangi A.F., Yang J. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 26:131-137.
6. J.P. Ye, R. Janardan, Q. Li, Two-dimensional linear discriminant analysis, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2004.
7. Chen S.B., Zhao H.F., Kong M., Luo B. 2D-LPP: a two-dimensional extension of locality preserving projections. Neurocomputer 2006, 70:912-921.
8. 2LDA: an efficient approach for face recognition. Pattern Recognition 2006, 39:1396-1400.
9. Li M., Yuan B.Z. 2D-LDA: a statistical linear discriminant analysis for image matrix. Pattern Recognition 2005, 26:527-532.
10. J.H. Zhai, C.Y. Bai, S.F. Zhang, Face recognition based on 2DPCA and fuzzy-rough technique, in: Proceedings of the Ninth International Conference on Machine Learning and Cybernetics, 2010, pp.725-729.
11. 2PCA: two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 2005, 69:24-231.
12. Dubois D., Prade H. Rough fuzzy sets and fuzzy rough sets. International Journal of General Systems 1990, 17:191-209.
13. Tsang E.C.C., Chen D.G., Yeung D.S., et al. Attributes reduction using fuzzy rough sets. IEEE Transactions on Fuzzy Systems 2008, 16:1130-1141.
14. X.Z. Wang, Y. Ha, D.G. Chen, On the reduction of fuzzy rough sets, in: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 2005, pp. 3174-3178.
15. Chen D.G., He Q., Wang X.Z. FRSVMs: fuzzy rough set based support vector machines. IEEE Transactions on Fuzzy Systems 2010, 161:596-607.
16. He Q., Wu C.X. Membership evaluation and feature selection for fuzzy support vector machine based on fuzzy rough sets. Soft Computing 2011, 15:1105-1114.