Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Fukushima K. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 36 4 (1980) 193-202
A computer program of this neocognitron in C language is available from Visiome Platform: http://platform.visiome.neuroinf.jp/.
Fukushima K. Neocognitron for handwritten digit recognition. Neurocomputing 51 (2003) 161-180. A computer program of this neocognitron in C language is available from Visiome Platform: http://platform.visiome.neuroinf.jp/.
Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat
Hubel D.H., and Wiesel T.N. Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat. Journal of Neurophysiology 28 2 (1965) 229-289
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
Schölkoph B., Sung K., Burges C., Girosi F., Niyogi P., Poggio T., et al. Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45 (1997) 2758-2764