Taek Mu Kwon

12 papers C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2000 J jnl
The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach.
Intell. Syst. Account. Finance Manag.
Ehsan Habib Feroz, Taek Mu Kwon, Victor S. Pastena, Kyungjoo Park
1998 J jnl
An ROI Search Method for Still Images Based on Set Descriptions.
Multidimens. Syst. Signal Process.
Taek Mu Kwon, Pankaj Agrawal, Donald B. Crouch
1996 J jnl
A multilayered perceptron approach to prediction of the SEC's investigation targets.
IEEE Trans. Neural Networks
Taek Mu Kwon, Ehsan Habib Feroz
1996 J jnl
Contrast enhancement for backpropagation.
IEEE Trans. Neural Networks
Taek Mu Kwon, Hui Cheng
1996 — conf
Self-organizing fuzzy and MLP approaches to detecting fraudulent financial reporting.
CIFEr
Ehsan Habib Feroz, Taek Mu Kwon
1995 J jnl
A Degenerated Fuzzy-Number Processing System based on Artificial Neural Networks.
Inf. Sci.
Marek J. Patyra, Taek Mu Kwon
1995 J jnl
A class of robust entropic functionals for image restoration.
IEEE Trans. Image Process.
Michael E. Zervakis, Aggelos K. Katsaggelos, Taek Mu Kwon
1995 J jnl
Design and analysis of a class of self-organizing and trainable fuzzy controllers.
J. Intell. Robotic Syst.
Taek Mu Kwon, Michael E. Zervakis, Anastasios N. Venetsanopoulos
1995 J jnl
KWTA networks and their applications.
Multidimens. Syst. Signal Process.
Taek Mu Kwon, Michael E. Zervakis
1994 — conf
Operator Decomposition using the Wavelet Transform: Fundamental Properties and Image Restoration Applications.
ICIP (1)
Michael E. Zervakis, Taek Mu Kwon, Andreas E. Savakis
1993 C conf
A generalized study of the weighted least-squares measure for the selection of the regularization parameter in inverse problems.
ISCAS
Michael E. Zervakis, Taek Mu Kwon
1993 — conf
On the application of robust functionals in regularized image restoration.
ICASSP (5)
Michael E. Zervakis, Taek Mu Kwon