Chi-Tat Leung

12 papers B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2007 J jnl
A general contrast function based blind source separation method for convolutively mixed independent sources.
Signal Process.
Chi-Tat Leung, Wan-Chi Siu
2002 J jnl
An independent component analysis based weight initialization method for multilayer perceptrons.
Neurocomputing
Yat-Fung Yam, Chi-Tat Leung, Peter Kwong-Shun Tam, Wan-Chi Siu
2001 J jnl
Least third-order cumulant method with adaptive regularization parameter selection for neural networks.
Artif. Intell.
Chi-Tat Leung, Tommy W. S. Chow
1999 J jnl
A neural-based crowd estimation by hybrid global learning algorithm.
IEEE Trans. Syst. Man Cybern. Part B
Siu-Yeung Cho, Tommy W. S. Chow, Chi-Tat Leung
1999 J jnl
Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks.
Artif. Intell.
Chi-Tat Leung, Tommy W. S. Chow
1997 — conf
A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks.
ICNN
Chi-Tat Leung, Tommy W. S. Chow
1997 J jnl
A new method in determining initial weights of feedforward neural networks for training enhancement.
Neurocomputing
Jim Y. F. Yam, Tommy W. S. Chow, Chi-Tat Leung
1997 J jnl
A novel noise robust fourth-order cumulants cost function.
Neurocomputing
Chi-Tat Leung, Tommy W. S. Chow
1996 J jnl
A Least Third-Order Cumulants Objective Function.
Neural Process. Lett.
Chi-Tat Leung, Tommy W. S. Chow, Yat-Fung Yam
1996 — conf
Noise robustness enhancement using fourth-order cumulants cost function.
ICNN
Chi-Tat Leung, Tommy W. S. Chow
1996 J jnl
Performance enhancement using nonlinear preprocessing.
IEEE Trans. Neural Networks
Tommy W. S. Chow, Chi-Tat Leung
1995 B conf
Neural network piecewise linear preprocessing for time-series prediction.
ESANN
Tommy W. S. Chow, Chi-Tat Leung