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NECO
2011
13 years 2 months ago
Least-Squares Independent Component Analysis
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 ...
Taiji Suzuki, Masashi Sugiyama
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis: algorithms and applications
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...
Aapo Hyvärinen, Erkki Oja
HICSS
2009
IEEE
111views Biometrics» more  HICSS 2009»
14 years 2 months ago
The Impact of Social Support of Guild Members and Psychological Factors on Flow and Game Loyalty in MMORPG
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...
Juseon Kang, Ilsang Ko, Yunjung Ko
CBMS
2003
IEEE
14 years 25 days ago
Approximate Entropy Based Pulse Variability Analysis
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...
IBPRIA
2003
Springer
14 years 22 days ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—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...
José M. P. Nascimento, José M. B. Di...