Fast linear discriminant analysis for on-line pattern recognition applications

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 2, 2002, Pages 64-67

  Moghaddam, H Abrishami ^a   Amiri Zadeh, Kh ^b  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; ONLINE SYSTEMS; ALGORITHMS; DISCRIMINANT ANALYSIS; OPTIMIZATION; STEEPEST DESCENT METHOD;

ADAPTIVE METHODS; LINEAR DISCRIMINANT ANALYSIS (LDA); ON-LINE PATTERN RECOGNITION;

PATTERN RECOGNITION SYSTEMS; PATTERN RECOGNITION;

CONVENTIONAL METHODS; CONVERGENCE RATES; FAST CONVERGENCE RATE; GRADIENT DESCENT OPTIMIZATION; LINEAR DISCRIMINANT ANALYSIS; SELF-ORGANIZED NEURAL NETWORKS; STEEPEST DESCENT OPTIMIZATION; VARIABLE STEP SIZE;

EID: 33751576006     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. C. Chatterjee, Z. Kang and V. P. Roychowdhury, "Algorithms for accelerated convergence of adaptive PCA", IEEE Trans. Neural Net., Vol. 11, No. 2, pp. 338-355, 2000.
2. C. Chatterjee and V. P. Roychowdhury, "On self organizing algorithm and networks for class-separability features", IEEE Trans. Neural Net., Vol. 8, No. 3, pp. 663-678, 1997.
3. nd Ed., Academic Press, 1990.
4. A. Benveniste, M. Metivier, P. Priouret, Adaptive Algorithms and Stochastic Approximations, Springer-Verlag, 1990.
5. S. Haykin, Neural Networks: A Comprehensive Foundation, Macmillan, 1994.
6. X. D. Huang, Y. Akiri, and M. A. Jack, Hidden Markov Models for Speech Recognition, Edinburgh Univ. Press, U.K., 1990.
7. B. Widrow, S. Steams, Adaptive signal processing, Prentice-Hall, 1985.
8. L. Ljung, "Analysis of Recursive Stochastic Algorithms", IEEE Trans. Automat. Cont., Vol. AC-22, No. 4, pp. 551-575, 1977.
9. L. Xu, "Least mean square error reconstruction principle for self organizing neural-net", neural networks, Vol. 6, pp. 627-648, 1993.
10. T.K. Sarkar and X.Yang, "Application of Conjugate Gradient and Steepest Descent for Computing the Eigenvalues of an Operator", Signal Processing, Vol. 17, pp. 31-37, 1989.
11. T.D. Sanger, "Optimal unsupervised learning in a single-layer linear feed-forward neural network", Neural Networks, Vol. 2. pp. 459-473, 1998.
12. Kh. Amiri-Zadeh, "Optimization and implementation of feature extraction and principal component analysis using neural networks", M.Sc. Thesis, Azad University, Science and Research unit, 2001.
13. Y. Miao and Y.Hua, "Fast Subspace Tracking and Neural-Network Learning by a novel information criterion", IEEE Trans. Signal Processing, Vol. 46, pp. 1964-1979, 1998.
14. C. Lee and J. Hong, "Optimizing Feature Extraction for Multiclass Cases", IEEE International Conference on Computational Cybernetics and Simulations, pp. 2545-2548,Vol 3. 1997.
15. J. Mao and A.K. Jain, "Discriminant analysis neural networks", IEEE - Int.Conf. Neural Networks, San Francisco ,CA, Vol.1, Mar. 1993, pp. 300-305.