9 citations · 40 across the 15 of their papers we have counts for
3 papers · 1 filter
Realization of spatial sparseness by deep ReLU nets with massive data
Charles K. Chui, Shao-Bo Lin, Bo Zhang +1
The great success of deep learning poses urgent challenges for understanding its working mechanism and rationality. The depth, structure, and massive size of the data are recognize…
CASS: Cross Adversarial Source Separation via Autoencoder
Yong Zheng Ong, Charles K. Chui, Haizhao Yang
This paper introduces a cross adversarial source separation (CASS) framework via autoencoder, a new model that aims at separating an input signal consisting of a mixture of multipl…
Deep Neural Networks for Rotation-Invariance Approximation and Learning
Charles K. Chui, Shao-Bo Lin, Ding-Xuan Zhou
Based on the tree architecture, the objective of this paper is to design deep neural networks with two or more hidden layers (called deep nets) for realization of radial functions…