Lei Xu
According to our database1,
Lei Xu
authored at least 135 papers
between 1987 and 2018.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Homepage:
On csauthors.net:
Bibliography
2018
An Enviro-Geno-Pheno State Analysis Framework for Biomarker Study.
Proceedings of the Intelligence Science and Big Data Engineering, 2018
2017
Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes.
IJDMB, 2017
A Comparative Study of Joint-SNVs Analysis Methods and Detection of Susceptibility Genes for Gastric Cancer in Korean Population.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
The Prognostic Role of Genes with Skewed Expression Distribution in Lung Adenocarcinoma.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
2016
A comparison study on multivariate methods for joint-SNVs association analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2014
Learning binary factor analysis with automatic model selection.
Neurocomputing, 2014
A comparative study of RPCL and MCE based discriminative training methods for LVCSR.
Neurocomputing, 2014
A graph matching algorithm based on concavely regularized convex relaxation.
Neurocomputing, 2014
2012
A theoretical investigation of several model selection criteria for dimensionality reduction.
Pattern Recognition Letters, 2012
An Extended Path Following Algorithm for Graph-Matching Problem.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm.
J. Integrative Bioinformatics, 2012
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
A non-Gaussian factor analysis approach to transcription Network Component Analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
2011
A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSR.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
A Weight Regularized Relaxation Based Graph Matching Algorithm.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
2010
Machine learning problems from optimization perspective.
J. Global Optimization, 2010
A study of several model selection criteria for determining the number of signals.
Proceedings of the IEEE International Conference on Acoustics, 2010
GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection.
Proceedings of the IEEE International Conference on Acoustics, 2010
Radar HRRP statistical recognition with Local Factor Analysis by automatic Bayesian Ying Yang harmony learning.
Proceedings of the IEEE International Conference on Acoustics, 2010
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Randomized Hough Transform.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Combining Classifiers and Learning Mixture-of-Experts.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Independent Subspaces.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Canonical Dual Approach to Binary Factor Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family.
Proceedings of the Computational Intelligence: Research Frontiers, 2008
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis.
Proceedings of the Artificial Neural Networks, 2008
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis.
Proceedings of the Artificial Neural Networks, 2008
2007
A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective.
Proceedings of the Challenges for Computational Intelligence, 2007
Rival penalized competitive learning.
Scholarpedia, 2007
Bayesian Ying Yang learning.
Scholarpedia, 2007
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving.
Pattern Recognition, 2007
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics.
Neural Computation, 2007
Investigation on Multisets Mixture Learning Based Object Detection.
IJPRAI, 2007
2006
Multisets mixture learning-based ellipse detection.
Pattern Recognition, 2006
A Comparative Investigation on Model Selection in Independent Factor Analysis.
J. Math. Model. Algorithms, 2006
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network.
Proceedings of the Artificial Neural Networks, 2006
2005
A Comparative Investigation on Model Selection in Binary Factor Analysis.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005
A Further Result on the ICA One-Bit-Matching Conjecture.
Neural Computation, 2005
Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture.
Neurocomputing, 2005
A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005
2004
Temporal BYY encoding, Markovian state spaces, and space dimension determination.
IEEE Trans. Neural Networks, 2004
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination.
IEEE Trans. Neural Networks, 2004
Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004
A comparative investigation on subspace dimension determination.
Neural Networks, 2004
One-Bit-Matching Conjecture for Independent Component Analysis.
Neural Computation, 2004
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection.
Neurocomputing, 2004
Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management.
Decision Support Systems, 2004
Automatic Cluster Number Determination via BYY Harmony Learning.
Proceedings of the Advances in Neural Networks, 2004
Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
2003
Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation".
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003
Dual multivariate auto-regressive modeling in state space for temporal signal separation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003
An extended ASLD trading system to enhance portfolio management.
IEEE Trans. Neural Networks, 2003
Strip line detection and thinning by RPCL-based local PCA.
Pattern Recognition Letters, 2003
Improved system for object detection and star/galaxy classification via local subspace analysis.
Neural Networks, 2003
Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301].
Neurocomputing, 2003
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units.
Neurocomputing, 2003
Topological local principal component analysis.
Neurocomputing, 2003
Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm.
Neurocomputing, 2003
Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003
A Comparative Study of Several Cluster Number Selection Criteria.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Local PCA for Strip Line Detection and Thinning.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003
On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003
2002
Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses".
IEEE Trans. Neural Networks, 2002
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models.
Neural Networks, 2002
A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem.
Neural Computation, 2002
White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis.
Proceedings of the 6th Joint Conference on Information Science, 2002
A Comparative Study on Three MAP Factor Estimate Approaches for NFA.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model.
Proceedings of the Artificial Neural Networks, 2002
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management.
Proceedings of the Artificial Neural Networks, 2002
2001
A PCA approach for fast retrieval of structural patterns in attributed graphs.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001
BYY harmony learning, independent state space, and generalized APT financial analyses.
IEEE Trans. Neural Networks, 2001
A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem.
Neural Networks, 2001
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures.
Neural Computation, 2001
Independent component ordering in ICA time series analysis.
Neurocomputing, 2001
Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models.
Int. J. Neural Syst., 2001
RPCL-Based Local PCA Algorithm.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
2000
Temporal BYY learning for state space approach, hidden Markov model, and blind source separation.
IEEE Trans. Signal Processing, 2000
A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints.
J. Global Optimization, 2000
Some global and local convergence analysis on the information-theoretic independent component analysis approach.
Neurocomputing, 2000
Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation.
Int. J. Neural Syst., 2000
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States.
IJCNN (4), 2000
New Sharpe-ratio-related methods for portfolio selection.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000
1999
Further study of adaptive supervised learning decision (ASLD) network in stock market.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
Region number determination in automatic image segmentation based on BKYY model selection criterion.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique.
Proceedings of the International Joint Conference Neural Networks, 1999
An empirical method to select dominant independent components in ICA for time series analysis.
Proceedings of the International Joint Conference Neural Networks, 1999
Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation.
Proceedings of the International Joint Conference Neural Networks, 1999
An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation.
Proceedings of the International Joint Conference Neural Networks, 1999
Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Learned parametric mixture based ICA algorithm.
Neurocomputing, 1998
RBF nets, mixture experts, and Bayesian Ying-Yang learning.
Neurocomputing, 1998
Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images.
Proceedings of the Multimedia Information Analysis and Retrieval, 1998
Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998
Intra-block algorithm for digital watermarking.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VII): Data Smoothing.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
The Correct Convergence of the Rival Penalized Competitive Learning (RPCL) Algorithm.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Cointegration by MCA and modular MCA.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998
1997
Yet another algorithm which can generate topography map.
IEEE Trans. Neural Networks, 1997
Bayesian Ying-Yang machine, clustering and number of clusters.
Pattern Recognition Letters, 1997
Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures.
Neural Processing Letters, 1997
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment.
Int. J. Neural Syst., 1997
Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities.
Proceedings of the ESANN 1997, 1997
Adaptive supervised learning decision networks for traders and portfolios.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997
1996
Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996
1995
Robust principal component analysis by self-organizing rules based on statistical physics approach.
IEEE Trans. Neural Networks, 1995
Convergence results for the EM approach to mixtures of experts architectures.
Neural Networks, 1995
Probabilistic and non-probabilistic Hough transforms: overview and comparisons.
Image Vision Comput., 1995
A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machines.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.
Neural Networks, 1994
An Alternative Model for Mixtures of Experts.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994
Comparisons of Probabilistic and Non-probabilistic Hough Transforms.
Proceedings of the Computer Vision, 1994
1993
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection.
IEEE Trans. Neural Networks, 1993
Bayesian Self-Organization.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
Methods of combining multiple classifiers and their applications to handwriting recognition.
IEEE Trans. Systems, Man, and Cybernetics, 1992
Modified Hebbian learning for curve and surface fitting.
Neural Networks, 1992
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning.
Int. J. Neural Syst., 1992
Self-Organizing Rules for Robust Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1991
Neural Nets for Dual Subspace Pattern Recognition Method.
Int. J. Neural Syst., 1991
1990
A new curve detection method: Randomized Hough transform (RHT).
Pattern Recognition Letters, 1990
Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps.
Int. J. Neural Syst., 1990
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990
Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching.
Proceedings of the Neural Networks, 1990
1987
Structuring Causal Tree Models with Continuous Variables.
Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987