1 citations · 1 across the 3 of their papers we have counts for
4 papers
Global monotone convergence of Newton-like iteration for a nonlinear eigen-problem
Peichang Guo
The nonlinear eigen-problem is studied where is an irreducible Stieltjes matrix. Under certain conditions, this problem has a unique positive solution…
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks
Pei-Chang Guo
Convolutional neural networks are very popular nowadays. Training neural networks is not an easy task. Each convolution corresponds to a structured transformation matrix. In order…
A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem
Pei-Chang Guo
Convolutional neural network is a very important model of deep learning. It can help avoid the exploding/vanishing gradient problem and improve the generalizability of a neural net…
On regularization for a convolutional kernel in neural networks
Peichang Guo, Qiang Ye
Convolutional neural network is an important model in deep learning. To avoid exploding/vanishing gradient problems and to improve the generalizability of a neural network, it is d…