The research of study methods for pattern recognition

International Journal of Modelling, Identification and Control

Volumn 16, Issue 3, 2012, Pages 229-233

  Meng, Fanhua ^a,b   Wu, Xueli ^b   Ding, Xue ^b   Zhen, Ran ^b  

^a YANSHAN UNIVERSITY   (China)

^b HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Concept; Dynamic attribute; Pattern; Pattern recognition; Static attribute

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION; MATHEMATICAL TECHNIQUES;

BOTTLENECK PROBLEM; CONCEPT; DYNAMIC ATTRIBUTES; MATHEMATICAL TOOLS; PATTERN; RESEARCH STATUS; STATIC ATTRIBUTE; STUDY METHODS;

PATTERN RECOGNITION;

EID: 84863686976     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2012.047731     Document Type: Article

References (18)

1. Ata, E. and Vahid, R. (2010) 'Control chart pattern recognition using an optimized neural network and efficient features', ISA Transactions, July, Vol. 49, No. 3, pp.387-393.
2. Belhumeur, P.N., Hespanha, J.P. and Kriegman, D.J. (1997) 'Eigenfaces vs. fisherfaces: recognition using class-specific linear projection space', IEEE Trans. PAMI, Vol. 19, No. 7, pp.711-720. (Pubitemid 127762263)
3. Billur, B. (2007) 'Target differentiation with simple infrared sensors using statistical pattern recognition techniques', Pattern Recognition, October, Vol. 40, No. 10, pp.2607-2620.
4. Bo, C. and Zang, C. (2011) 'A hybrid immune model for unsupervised structural damage pattern recognition', Expert Systems with Applications, March, Vol. 38, No. 3, pp.1650-1658.
5. Bunke, H. (2000) 'Recent developments in graph matching', International Conference on Pattern Recognition, Vol. 2, pp.117-124.
6. Chen, G.Y., Bui, T.D. and Krzyzak, A. (2009) 'Invariant pattern recognition using radon, dual-tree complex wavelet and Fourier transforms', Pattern Recognition, September, Vol. 42, No. 9, pp.2013-2019.
7. Godfried, T.T. (1978) 'The use of context in pattern recognition', Pattern Recognition, September, Vol. 10, No. 3, pp.189-204.
8. Goldfarb, L. (1990) 'On the foundations of intelligent processes-I. An evolving model for pattern recognition', Pattern Recognition, Vol. 23, No. 6, pp.595-616.
9. Goldfarb, L. and Hook, J. (1998) 'Why classical models for pattern recognition are not pattern recognition models', International Conference on Advances in Pattern Recognition, pp.405-414.
10. Liu, D., Yamashita, Y. and Ogawa, H. (1995) 'Pattern recognition in the presence of noise', Pattern Recognition, July, Vol. 28, No. 7, pp.989-995.
11. Marek, S. (2007) 'Syntactic recognition of distorted patterns by means of random graph parsing', Pattern Recognition Letters, April, Vol. 28, No. 5, pp.572-581.
12. Ping, H. (2009) 'A novel hybrid approach based on sub-pattern technique and whitened PCA for face recognition', Pattern Recognition, May, Vol. 42, No. 5, pp.978-984.
13. Wang, J.X. and Wang, Z.Z. (2010) 'A license plate characters recognition method based on improved template matching', Journal of Hebei University of Science and Technology, Vol. 31, No. 3, pp.236-239.
14. Wilson, R.C., Luo, B. and Hancock, E.R. (2005) 'Pattern vectors from algebraic graph theory', IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 7, pp.1112-1124. (Pubitemid 41046906)
15. Wu, X.J., Wu, X.L., Zhen, R., Luo, X.Y. and Zhu, Q.M. (2011) 'Adaptive control for time-delay non-linear systems with non-symmetric input non-linearity', International Journal of Modelling, Identification and Control, Vol. 13, No. 3, pp.152-161.
16. Wu, X.L., Wu, X.J. and Du, W.X. (2010) 'Adaptive fuzzy sliding mode control for uncertain nonlinear system with input nonlinearity', International Journal of Modelling, Identification and Control, Vol. 11, Nos. 3/4, pp.186-193.
17. Yu, H. and Yang, J. (2001) 'A direct LDA algorithm for high-dimensional data with application to face recognition', Pattern Recognition, Vol. 34, No. 10, pp.2067-2070.
18. Zhang, D.K., Tian, G.C., Gong, Z.T. and Qiu, J.Q. (2010) 'Numerical solutions to second-order fuzzy differential equations', Journal of Hebei University of Science and Technology, Vol. 31, No. 2, pp.158-161.