S Y Kung
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Explore the profile of S Y Kung including associated specialties, affiliations and a list of published articles.
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Articles
10
Citations
50
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Recent Articles
1.
Mak M, Kung S
IEEE Trans Neural Netw
. 2008 Feb;
11(4):961-9.
PMID: 18249822
This paper proposes to incorporate full covariance matrices into the radial basis function (RBF) networks and to use the expectation-maximization (EM) algorithm to estimate the basis function parameters. The resulting...
2.
Wang Y, Luo L, Freedman M, Kung S
IEEE Trans Neural Netw
. 2008 Feb;
11(3):625-36.
PMID: 18249790
Visual exploration has proven to be a powerful tool for multivariate data mining and knowledge discovery. Most visualization algorithms aim to find a projection from the data space down to...
3.
Kung S, Mak M, Tagkopoulos I
Proc IEEE Comput Syst Bioinform Conf
. 2006 Feb;
:123-34.
PMID: 16447970
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluster. We...
4.
Myers C, Dunham M, Kung S, Troyanskaya O
Bioinformatics
. 2004 Jul;
20(18):3533-43.
PMID: 15284100
Motivation: Chromosomal copy number changes (aneuploidies) are common in cell populations that undergo multiple cell divisions including yeast strains, cell lines and tumor cells. Identification of aneuploidies is critical in...
5.
Yiu K, Mak M, Kung S
Int J Neural Syst
. 2002 Nov;
12(5):381-97.
PMID: 12424809
This paper compares kernel-based probabilistic neural networks for speaker verification based on 138 speakers of the YOHO corpus. Experimental evaluations using probabilistic decision-based neural networks (PDBNNs), Gaussian mixture models (GMMs)...
6.
Manolache S, Aggoun A, McCormick M, Davies N, Kung S
J Opt Soc Am A Opt Image Sci Vis
. 2001 Aug;
18(8):1814-21.
PMID: 11488485
A mathematical model for a three-dimensional omnidirectional integral recording camera system that uses either circular- or hexagonal-based spherical surface microlens arrays is derived. The geometry of the image formation and...
7.
Lin S, Kung S, Lin L
IEEE Trans Neural Netw
. 1997 Jan;
8(1):114-32.
PMID: 18255615
This paper proposes a face recognition system, based on probabilistic decision-based neural networks (PDBNN). With technological advance on microelectronic and vision system, high performance automatic techniques on biometric recognition are...
8.
Kung S, Taur J
IEEE Trans Neural Netw
. 1995 Jan;
6(1):170-81.
PMID: 18263296
Supervised learning networks based on a decision-based formulation are explored. More specifically, a decision-based neural network (DBNN) is proposed, which combines the perceptron-like learning rule and hierarchical nonlinear network structure....
9.
Diamantaras K, Kung S
IEEE Trans Neural Netw
. 1994 Jan;
5(5):684-97.
PMID: 18267843
This paper is developed in two parts. First, the authors formulate the solution to the general reduced-rank linear approximation problem relaxing the invertibility assumption of the input autocorrelation matrix used...
10.
Vlontzos J, Kung S
IEEE Trans Image Process
. 1992 Jan;
1(4):539-43.
PMID: 18296188
A hierarchical system for character recognition with hidden Markov model knowledge sources which solve both the context sensitivity problem and the character instantiation problem is presented. The system achieves 97-99%...