Lei Xu
Lei Xu
Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ.
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Cited by
Cited by
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
A new curve detection method: randomized Hough transform (RHT)
L Xu, E Oja, P Kultanen
Pattern recognition letters 11 (5), 331-338, 1990
On convergence properties of the EM algorithm for Gaussian mixtures
L Xu, MI Jordan
Neural computation 8 (1), 129-151, 1996
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
Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities
L Xu, E Oja
CVGIP: Image understanding 57 (2), 131-154, 1993
Least mean square error reconstruction principle for self-organizing neural-nets
L Xu
Neural networks 6 (5), 627-648, 1993
Convergence results for the EM approach to mixtures of experts architectures
MI Jordan, L Xu
Neural networks 8 (9), 1409-1431, 1995
An alternative model for mixtures of experts
L Xu, MI Jordan, GE Hinton
Advances in neural information processing systems, 633-640, 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
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
Modified Hebbian learning for curve and surface fitting
L Xu, E Oja, CY Suen
Neural Networks 5 (3), 441-457, 1992
Bayesian Ying–Yang machine, clustering and number of clusters
L Xu
Pattern Recognition Letters 18 (11-13), 1167-1178, 1997
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
Improved learning algorithms for mixture of experts in multiclass classification
K Chen, L Xu, H Chi
Neural networks 12 (9), 1229-1252, 1999
Best first strategy for feature selection
L Xu, P Yan, T Chang
9th international conference on pattern recognition, 706,707,708-706,707,708, 1988
Independent component ordering in ICA time series analysis
Y Cheung, L Xu
Neurocomputing 41 (1-4), 145-152, 2001
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
L Xu
Neural Networks 15 (8-9), 1125-1151, 2002
Asymptotic convergence rate of the EM algorithm for Gaussian mixtures
J Ma, L Xu, MI Jordan
Neural Computation 12 (12), 2881-2907, 2000
RBF nets, mixture experts, and Bayesian Ying–Yang learning
L Xu
Neurocomputing 19 (1-3), 223-257, 1998
Interactiongraphnet: A novel and efficient deep graph representation learning framework for accurate protein–ligand interaction predictions
D Jiang, CY Hsieh, Z Wu, Y Kang, J Wang, E Wang, B Liao, C Shen, L Xu, ...
Journal of medicinal chemistry 64 (24), 18209-18232, 2021
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