Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998. ,

Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012. ,

Very deep convolutional networks for large-scale image recognition, 2014. ,

Going deeper with convolutions, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.1-9, 2015. ,

Deep residual learning for image recognition, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.770-778, 2016. ,

Identity mappings in deep residual networks, European conference on computer vision, pp.630-645, 2016. ,

, Efficient convolutional neural networks for mobile vision applications, 2017.

Densely connected convolutional networks, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.4700-4708, 2017. ,

Image representation using 2D Gabor wavelets, IEEE Transactions on Pattern Analysis & Machine Intelligence, issue.10, pp.959-971, 1996. ,

Perturbative neural networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.3310-3318, 2018. ,

An Exact supervised learning for a three-layer supervised neural network, Proceedings of 1995 International Conference on Neural Information Processing, pp.1041-1044, 1995. ,

Pseudoinverse learning algorithm for feedforward neural networks, Advances in Neural Networks and Applications, pp.321-326, 2001. ,

A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data, Neurocomputing, vol.56, pp.101-121, 2004. ,

Random features for large-scale kernel machines, Advances in neural information processing systems, pp.1177-1184, 2008. ,

Autoencoder, low rank approximation and pseudoinverse learning algorithm, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.948-953, 2017. ,

Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders, International Conference on Neural Information Processing, pp.501-511, 2018. ,

Image Recognition with Histogram of Oriented Gradient Feature and Pseudoinverse Learning AutoEncoders, International Conference on Neural Information Processing, pp.740-749, 2017. ,

, Vest of the Pseudoinverse Learning Algorithm, 2018.

Generalized linear models, Journal of the Royal Statistical Society: Series A (General), vol.135, issue.3, pp.370-384, 1972. ,

The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems, Advances in neural information processing systems, pp.847-854, 1992. ,