Lei Xu
Lei Xu
Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ.
Verified email at cs.sjtu.edu.cn - Homepage
TitleCited byYear
Methods of combining multiple classifiers and their applications to handwriting recognition
L Xu, A Krzyzak, CY Suen
IEEE transactions on systems, man, and cybernetics 22 (3), 418-435, 1992
28421992
A new curve detection method: randomized Hough transform (RHT)
L Xu, E Oja, P Kultanen
Pattern recognition letters 11 (5), 331-338, 1990
14161990
On convergence properties of the EM algorithm for Gaussian mixtures
L Xu, MI Jordan
Neural computation 8 (1), 129-151, 1996
8451996
Rival Penalized Competitive Learning, Clustering Analysis, RBF Nets and Curve Detection
L Xu, A Krzyzak, E Oja
Neural Networks, IEEE Transactions on 4 (4), pp636-649, 1993
8071993
Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities
L Xu, E Oja
CVGIP: Image understanding 57 (2), 131-154, 1993
7541993
Least mean square error reconstruction principle for self-organizing neural-nets
L Xu
Neural networks 6 (5), 627-648, 1993
3901993
Convergence results for the EM approach to mixtures of experts architectures
MI Jordan, L Xu
Neural networks 8 (9), 1409-1431, 1995
3801995
An alternative model for mixtures of experts
L Xu, MI Jordan, GE Hinton
Advances in neural information processing systems, 633-640, 1995
340*1995
Probabilistic and non-probabilistic Hough transforms: overview and comparisons
H Kšlvišinen, P Hirvonen, L Xu, E Oja
Image and vision computing 13 (4), 239-252, 1995
3051995
Modified Hebbian learning for curve and surface fitting
L Xu, E Oja, CY Suen
Neural Networks 5 (3), 441-457, 1992
3051992
Robust principal component analysis by self-organizing rules based on statistical physics approach
L Xu, AL Yuille
IEEE Transactions on Neural Networks 6 (1), 131-143, 1995
2771995
Bayesian Ying–Yang machine, clustering and number of clusters
L Xu
Pattern Recognition Letters 18 (11-13), 1167-1178, 1997
1901997
On radial basis function nets and kernel regression: statistical consistency, convergence rates, and receptive field size
L Xu, A Krzyżak, A Yuille
Neural Networks 7 (4), 609-628, 1994
1641994
Improved learning algorithms for mixture of experts in multiclass classification
K Chen, L Xu, H Chi
Neural networks 12 (9), 1229-1252, 1999
1311999
Independent component ordering in ICA time series analysis
Y Cheung, L Xu
Neurocomputing 41 (1-4), 145-152, 2001
1262001
Best first strategy for feature selection
L Xu, P Yan, T Chang
[1988 Proceedings] 9th International Conference on Pattern Recognition, 706-708, 1988
1241988
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
L Xu
Neural Networks 15 (8-9), 1125-1151, 2002
1222002
RBF nets, mixture experts, and Bayesian Ying–Yang learning
L Xu
Neurocomputing 19 (1-3), 223-257, 1998
1221998
Bayesian-Kullback coupled Ying-Yang machines: Unified learnings and new results on vector quantization
L Xu
Proceedings of ICONIP95, Oct 30-Nov 3, 1995, Beijing, China, 1995, 977-988, 1995
118*1995
Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, three-layer nets and ME-RBF-SVM models
L Xu
International Journal of Neural Systems 11 (01), 43-69, 2001
962001
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