Bonjour, ceci est un commentaire. Pour supprimer un commentaire, connectez-vous et affichez les commentaires de cet article. Vous pourrez alors…
C. A. Perez, C. A. Salinas, P.A. Estévez, and P. M. Valenzuela, “Genetic design of biologically inspired receptive fields for neural pattern recognition,” IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics, Vol. 33, No. 2, pp. 258–270, April 2003.
- Listed: 28 July 2026 21 h 43 min
Description
C. A. Perez, C. A. Salinas, P.A. Estévez, and P. M. Valenzuela, “Genetic design of biologically inspired receptive fields for neural pattern recognition,” IEEE Transactions on Systems, Man, and Cybernetics — Part B: Cybernetics, Vol. 33, No. 2, pp. 258–270, April 2003.
None
6 total views, 1 today
Sponsored Links
AT&T Laboratories Cambridge, “The database of faces,” at: http://www.cl...
AT&T Laboratories Cambridge, “The database of faces,” at: http://www.cl.cam.ac.uk/research/dtg/attarchive/face database.html **The Database of Faces** In the world of computer science and artificial intelligence, facial recognition […]
No views yet
P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database an...
P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database and evaluation procedure for face rec-ognition algorithms,” Image and Vision Computing Journal, […]
No views yet
T. Nakayama, M. Konda, K. Takeuchi, K. Kotani, and T. Ohmi, “Still image co...
T. Nakayama, M. Konda, K. Takeuchi, K. Kotani, and T. Ohmi, “Still image compression with adaptive resolution vector quantization technique,” International Journal of Intelligent Automation […]
No views yet
A. Gersho and R. M. Gray, “Vector quantization and signal compression,” Klu...
A. Gersho and R. M. Gray, “Vector quantization and signal compression,” Kluwer Academic, 1992. **A. Gersho and R. M. Gray, “Vector quantization and signal compression,” […]
No views yet
K. Kotani, Q. Chen, and T. Ohmi, “Face recognition using vector quantizatio...
K. Kotani, Q. Chen, and T. Ohmi, “Face recognition using vector quantization histogram method,” IEEE 2002 Interna-tional Conference on Image Processing, II–105–108, 2002. **K. Kotani, […]
No views yet
S. Aly, N. Tsuruta, and R. Taniguchi, “Face recognition under varying illum...
S. Aly, N. Tsuruta, and R. Taniguchi, “Face recognition under varying illumination using Mahalanobis self-orga-nizing map,” Artificial Life and Robotics, Vol. 13, No. 1, pp. […]
No views yet
S. G. Karungaru, M. Fukumi, and N. Akamatsu, “Face recognition in color ima...
S. G. Karungaru, M. Fukumi, and N. Akamatsu, “Face recognition in color images using neural networks and genetic algorithms,” International Journal of Computa-tional Intelligence and […]
No views yet
M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, “Face recognition by i...
M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, Vol. 13, No. 6, […]
1 total views, 1 today
W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedin...
W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedings ICPR’00, Track 2, pp. 822–825, 2000. **W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedings ICPR’00, […]
No views yet
B. Moghaddam and A. Pentland, “Probabilistic visual learning for object rep...
B. Moghaddam and A. Pentland, “Probabilistic visual learning for object representation,” IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 696–710, 1997. […]
1 total views, 1 today
AT&T Laboratories Cambridge, “The database of faces,” at: http://www.cl...
AT&T Laboratories Cambridge, “The database of faces,” at: http://www.cl.cam.ac.uk/research/dtg/attarchive/face database.html **The Database of Faces** In the world of computer science and artificial intelligence, facial recognition […]
No views yet
P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database an...
P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database and evaluation procedure for face rec-ognition algorithms,” Image and Vision Computing Journal, […]
No views yet
T. Nakayama, M. Konda, K. Takeuchi, K. Kotani, and T. Ohmi, “Still image co...
T. Nakayama, M. Konda, K. Takeuchi, K. Kotani, and T. Ohmi, “Still image compression with adaptive resolution vector quantization technique,” International Journal of Intelligent Automation […]
No views yet
A. Gersho and R. M. Gray, “Vector quantization and signal compression,” Klu...
A. Gersho and R. M. Gray, “Vector quantization and signal compression,” Kluwer Academic, 1992. **A. Gersho and R. M. Gray, “Vector quantization and signal compression,” […]
No views yet
K. Kotani, Q. Chen, and T. Ohmi, “Face recognition using vector quantizatio...
K. Kotani, Q. Chen, and T. Ohmi, “Face recognition using vector quantization histogram method,” IEEE 2002 Interna-tional Conference on Image Processing, II–105–108, 2002. **K. Kotani, […]
No views yet
S. Aly, N. Tsuruta, and R. Taniguchi, “Face recognition under varying illum...
S. Aly, N. Tsuruta, and R. Taniguchi, “Face recognition under varying illumination using Mahalanobis self-orga-nizing map,” Artificial Life and Robotics, Vol. 13, No. 1, pp. […]
No views yet
S. G. Karungaru, M. Fukumi, and N. Akamatsu, “Face recognition in color ima...
S. G. Karungaru, M. Fukumi, and N. Akamatsu, “Face recognition in color images using neural networks and genetic algorithms,” International Journal of Computa-tional Intelligence and […]
No views yet
M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, “Face recognition by i...
M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, Vol. 13, No. 6, […]
1 total views, 1 today
W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedin...
W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedings ICPR’00, Track 2, pp. 822–825, 2000. **W. Zhao, “Discriminant component analysis for face recog-nition,” Proceedings ICPR’00, […]
No views yet
B. Moghaddam and A. Pentland, “Probabilistic visual learning for object rep...
B. Moghaddam and A. Pentland, “Probabilistic visual learning for object representation,” IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 696–710, 1997. […]
1 total views, 1 today
Recent Comments