Hopfield network with constraint parameter adaptation for overlapped shape recognition

IEEE Transactions on Neural Networks

Volumn 10, Issue 2, 1999, Pages 444-449

  Suganthan, P N ^a   Teoh, Eam Khwang ^b   Mital, Dinesh P ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Constraint parameter adaptation; Graph matching; Hopfield neural network; Lyapunov stability; Pattern recognition; Shape recognition

Indexed keywords

CONSTRAINT PARAMETER ADAPTATION; HOPFIELD NEURAL NETWORKS;

CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; GRAPH THEORY; LEARNING SYSTEMS; LYAPUNOV METHODS; OBJECT RECOGNITION;

NEURAL NETWORKS;

EID: 0033100607     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.750576     Document Type: Article

References (12)

1. D. E. Van Den Bout and T. K. Miller, III, "Graph partitioning using annealed neural networks," IEEE Trans. Neural Networks, vol. 1, pp. 192-203, 1990.
2. S. Gold and A. Rangarajan, "A graduated assignment algorithm for graph matching," IEEE Trans. Pattern Anal. Machine Intell., vol. 4, pp. 309-319, 1996.
3. J. J. Hopfield, "Neurons with graded response have collective computational properties like those of two-state neurons," Proc. Nat. Academy Sci., vol. 81, pp. 3088-3092, 1984.
4. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
5. W. Li and N. M. Nasrabadi, "Object recognition based on graph matching implemented by a Hopfield-style neural network," in Proc. IJCNN, Seattle, WA, 1989, vol. II, pp. 287-290.
6. W. C. Lin, F. Y. Liao, C. K. Tsao, and T. Lingutla, "A hierarchical multiple-view approach to three-dimensional object recognition," IEEE Trans. Neural Networks, vol. 2, pp. 84-92, 1991.
7. C. Peterson and B. Soderberg, "A new method for mapping optimization problems onto neural networks," Int. J. Neural Syst., vol. 1, no. 1, pp. 3-22, 1989.
8. P. N. Suganthan, "Optimising connectionist models and attributed relational graph matching for object recognition," Ph.D. dissertation, School Elect. Electron. Eng., Nanyang Technol. Univ., Singapore, Feb. 1996.
9. P. N. Suganthan, E. K. Teoh, and D. P. Mital, "Pattern recognition by graph matching using the potts mft neural networks," Pattern Recognition, vol. 28, no. 7, pp. 997-1009, 1995.
10. P. N. Suganthan and H. Yan, "Handwritten chinese character recognition using self-organizing Hopfield network," in Proc. ICARCV'96, Singapore, Dec. 1996, pp. 1545-1549.
11. M. Vidyasagar, Nonlinear System Analysis, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1993.
12. R. C. Wilson and E. R. Hancock, "Structural matching by discrete relaxation," IEEE Trans. Pattern Anal. Machine Intell., vol. 6, pp. 487-498, 1997.