Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
The objective of this study is to identify the relationships in which social support influences flow and game loyalty through character control, character identity, guild identity...
The dynamical analysis of pulse variability gives new insight into researches of cardiovascular system’s dynamics. Firstly, long-term pulse variability analysis for the research...
Kuanquan Wang, Lisheng Xu, Zhenguo Li, David Zhang...
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...