4 citations · 13 across the 6 of their papers we have counts for
5 papers · 1 filter
Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data
Charles K. Chui, Ningning Han, Hrushikesh N. Mhaskar
This paper is concerned with the inverse problem of recovering the unknown signal components, along with extraction of their instantaneous frequencies (IFs), governed by the adapti…
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…
Construction of neural networks for realization of localized deep learning
Charles K. Chui, Shao-Bo Lin, Ding-Xuan Zhou
The subject of deep learning has recently attracted users of machine learning from various disciplines, including: medical diagnosis and bioinformatics, financial market analysis a…