On the application of robust functionals in regularized image restoration. - Michael E. Zervakis; Taek Mu Kwon (ICASSP (5), 1993)

A generalized study of the weighted least-squares measure for the selection of the regularization parameter in inverse problems. - Michael E. Zervakis; Taek Mu Kwon (ISCAS, 1993)

Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications. - Michael E. Zervakis; Taek Mu Kwon; Andreas E. Savakis (ICIP (1), 1994)

A Degenerated Fuzzy-Number Processing System based on Artificial Neural Networks. - Marek J. Patyra; Taek Mu Kwon (Inf. Sci., 1995)

Design and analysis of a class of self-organizing and trainable fuzzy controllers. - Taek Mu Kwon; Michael E. Zervakis; Anastasios N. Venetsanopoulos (J. Intell. Robotic Syst., 1995)

KWTA networks and their applications. - Taek Mu Kwon; Michael E. Zervakis (Multidimens. Syst. Signal Process., 1995)

A class of robust entropic functionals for image restoration. - Michael E. Zervakis; Aggelos K. Katsaggelos; Taek Mu Kwon (IEEE Trans. Image Process., 1995)

Self-organizing fuzzy and MLP approaches to detecting fraudulent financial reporting. - Ehsan Habib Feroz; Taek Mu Kwon (CIFEr, 1996)

Contrast enhancement for backpropagation. - Taek Mu Kwon; Hui Cheng (IEEE Trans. Neural Networks, 1996)

A multilayered perceptron approach to prediction of the SEC's investigation targets. - Taek Mu Kwon; Ehsan Habib Feroz (IEEE Trans. Neural Networks, 1996)

An ROI Search Method for Still Images Based on Set Descriptions. - Taek Mu Kwon; Pankaj Agrawal; Donald B. Crouch (Multidimens. Syst. Signal Process., 1998)

The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach. - Ehsan Habib Feroz; Taek Mu Kwon; Victor S. Pastena; Kyungjoo Park (Intell. Syst. Account. Finance Manag., 2000)