Zongben Xu

According to our database1, Zongben Xu authored at least 245 papers between 1985 and 2018.

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Bibliography

2018
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization.
IEEE Trans. Neural Netw. Learning Syst., 2018

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network.
IEEE Trans. Image Processing, 2018

Greedy Criterion in Orthogonal Greedy Learning.
IEEE Trans. Cybernetics, 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybernetics, 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Neural multi-atlas label fusion: Application to cardiac MR images.
Medical Image Analysis, 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Diverse lesion detection from retinal images by subspace learning over normal samples.
Neurocomputing, 2018

Model-Driven Deep Learning for Physical Layer Communications.
CoRR, 2018

Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN.
CoRR, 2018

Small Sample Learning in Big Data Era.
CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018

Learning through deterministic assignment of hidden parameters.
CoRR, 2018

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design.
IEEE Trans. Vis. Comput. Graph., 2017

Shrinkage Degree in L2-Rescale Boosting for Regression.
IEEE Trans. Neural Netw. Learning Syst., 2017

Graph PCA Hashing for Similarity Search.
IEEE Trans. Multimedia, 2017

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network.
IEEE Trans. Multimedia, 2017

Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
IEEE Trans. Med. Imaging, 2017

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Med. Imaging, 2017

Unsupervised PolSAR Image Classification Using Discriminative Clustering.
IEEE Trans. Geoscience and Remote Sensing, 2017

Generalization Analysis of Fredholm Kernel Regularized Classifiers.
Neural Computation, 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images.
CoRR, 2017

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.
CoRR, 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017

Denoising Hyperspectral Image with Non-i.i.d. Noise Structure.
CoRR, 2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network.
CoRR, 2017

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinformatics, 2017

Polsar image classification based on three-dimensional wavelet texture features and Markov random field.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm.
IEEE Trans. Signal Processing, 2016

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Processing, 2016

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Processing, 2016

Learning With ℓ1-Regularizer Based on Markov Resampling.
IEEE Trans. Cybernetics, 2016

An efficient optimization approach for a cardinality-constrained index tracking problem.
Optimization Methods and Software, 2016

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems.
Knowl.-Based Syst., 2016

Learning and approximation capabilities of orthogonal super greedy algorithm.
Knowl.-Based Syst., 2016

Block-sparse compressed sensing with partially known signal support via non-convex minimisation.
IET Signal Processing, 2016

Greedy Criterion in Orthogonal Greedy Learning.
CoRR, 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

Learning capability of the truncated greedy algorithm.
SCIENCE CHINA Information Sciences, 2016

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinformatics, 2016

Deep ADMM-Net for Compressive Sensing MRI.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A multi-phase multiobjective approach based on decomposition for sparse reconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Processing, 2015

L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Netw. Learning Syst., 2015

The Generalization Ability of Online SVM Classification Based on Markov Sampling.
IEEE Trans. Neural Netw. Learning Syst., 2015

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I).
IEEE Trans. Neural Netw. Learning Syst., 2015

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II).
IEEE Trans. Neural Netw. Learning Syst., 2015

Color Image Denoising via Discriminatively Learned Iterative Shrinkage.
IEEE Trans. Image Processing, 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.
IEEE Trans. Cybernetics, 2015

Error Estimate for Spherical Neural Networks Interpolation.
Neural Processing Letters, 2015

Jackson-type inequalities for spherical neural networks with doubling weights.
Neural Networks, 2015

Video Primal Sketch: A Unified Middle-Level Representation for Video.
Journal of Mathematical Imaging and Vision, 2015

On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations.
J. Computational Applied Mathematics, 2015

A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015

Folded-concave penalization approaches to tensor completion.
Neurocomputing, 2015

Shrinkage degree in L2-re-scale boosting for regression.
CoRR, 2015

Model selection of polynomial kernel regression.
CoRR, 2015

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition.
CoRR, 2015

Video Primal Sketch: A Unified Middle-Level Representation for Video.
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal.
CoRR, 2015

New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial].
IEEE Comp. Int. Mag., 2015

New Trends of Learning in Computational Intelligence [Guest Editorial].
IEEE Comp. Int. Mag., 2015

Robust low-rank tensor factorization by cyclic weighted median.
SCIENCE CHINA Information Sciences, 2015

A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning a convolutional neural network for non-uniform motion blur removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image.
IEEE Trans. Vis. Comput. Graph., 2014

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm.
IEEE Trans. Signal Processing, 2014

Enhancing Low-Rank Subspace Clustering by Manifold Regularization.
IEEE Trans. Image Processing, 2014

Spatial and Spectral Image Fusion Using Sparse Matrix Factorization.
IEEE Trans. Geoscience and Remote Sensing, 2014

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.
IEEE Trans. Cybernetics, 2014

Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Automat. Contr., 2014

Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks.
IEEE Signal Process. Lett., 2014

A novel L1/2 regularization shooting method for Cox's proportional hazards model.
Soft Comput., 2014

Sparse solution of underdetermined linear equations via adaptively iterative thresholding.
Signal Processing, 2014

Restricted p-isometry properties of nonconvex block-sparse compressed sensing.
Signal Processing, 2014

Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound.
Quantum Information & Computation, 2014

Generalization performance of Gaussian kernels SVMC based on Markov sampling.
Neural Networks, 2014

Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel.
Neural Computation, 2014

Almost optimal estimates for approximation and learning by radial basis function networks.
Machine Learning, 2014

An active contour model and its algorithms with local and global Gaussian distribution fitting energies.
Inf. Sci., 2014

Two soft-thresholding based iterative algorithms for image deblurring.
Inf. Sci., 2014

Categorization Axioms for Classification and Clustering.
CoRR, 2014

Greedy metrics in orthogonal greedy learning.
CoRR, 2014

On the Optimal Solution of Weighted Nuclear Norm Minimization.
CoRR, 2014

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II).
CoRR, 2014

Learning and approximation capability of orthogonal super greedy algorithm.
CoRR, 2014

Sparse K-Means with ℓ/ℓ0 Penalty for High-Dimensional Data Clustering.
CoRR, 2014

Robust sparse principal component analysis.
SCIENCE CHINA Information Sciences, 2014

The number of spanning trees in a new lexicographic product of graphs.
SCIENCE CHINA Information Sciences, 2014

Hierarchical clustering driven by cognitive features.
SCIENCE CHINA Information Sciences, 2014

The L1/2 regularization method for variable selection in the Cox model.
Appl. Soft Comput., 2014

Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation.
IEEE Trans. Vehicular Technology, 2013

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling.
IEEE Trans. Neural Netw. Learning Syst., 2013

Learning Capability of Relaxed Greedy Algorithms.
IEEE Trans. Neural Netw. Learning Syst., 2013

Detecting Intrinsic Loops Underlying Data Manifold.
IEEE Trans. Knowl. Data Eng., 2013

Dynamic Extreme Learning Machine and Its Approximation Capability.
IEEE Trans. Cybernetics, 2013

Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills.
Signal Processing, 2013

Hermitian dual containing BCH codes and construction of new quantum codes.
Quantum Information & Computation, 2013

A heuristic hierarchical clustering based on multiple similarity measurements.
Pattern Recognition Letters, 2013

Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds.
Pattern Recognition, 2013

Fast image deconvolution using closed-form thresholding formulas of regularization.
J. Visual Communication and Image Representation, 2013

The strong convergence of visual classification method and its applications.
Inf. Sci., 2013

Poisson image fusion based on Markov random field fusion model.
Information Fusion, 2013

The UPPAM continuous-time RNN model and its critical dynamics study.
Neurocomputing, 2013

Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013

Proportion-based robust optimization and team orienteering problem with interval data.
European Journal of Operational Research, 2013

On recovery of block-sparse signals via mixed l2/lq (0 < q ≤ 1) norm minimization.
EURASIP J. Adv. Sig. Proc., 2013

Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm.
Data Knowl. Eng., 2013

Fast Compressed Sensing SAR Imaging based on Approximated Observation
CoRR, 2013

Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding.
CoRR, 2013

L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm.
CoRR, 2013

Learning rates of lq coefficient regularization learning with Gaussian kernel.
CoRR, 2013

Compressed Sensing SAR Imaging with Multilook Processing.
CoRR, 2013

The learning performance of support vector machine classification based on Markov sampling.
SCIENCE CHINA Information Sciences, 2013

Image restoration with shifting reflective boundary conditions.
SCIENCE CHINA Information Sciences, 2013

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinformatics, 2013

Approximation by neural networks with scattered data.
Applied Mathematics and Computation, 2013

Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Global Convergence of Online BP Training With Dynamic Learning Rate.
IEEE Trans. Neural Netw. Learning Syst., 2012

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes.
IEEE Trans. Neural Netw. Learning Syst., 2012

L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver.
IEEE Trans. Neural Netw. Learning Syst., 2012

Improve robustness of sparse PCA by L1-norm maximization.
Pattern Recognition, 2012

A general radial quasi-interpolation operator on the sphere.
Journal of Approximation Theory, 2012

Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions.
Inf. Sci., 2012

Critical dynamics study on recurrent neural networks: Globally exponential stability.
Neurocomputing, 2012

Dictionary learning under global sparsity constraint
CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012

The essential ability of sparse reconstruction of different compressive sensing strategies.
SCIENCE CHINA Information Sciences, 2012

Sparse SAR imaging based on L 1/2 regularization.
SCIENCE CHINA Information Sciences, 2012

Estimation of convergence rate for multi-regression learning algorithm.
SCIENCE CHINA Information Sciences, 2012

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method.
SCIENCE CHINA Information Sciences, 2012

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains.
Adv. Comput. Math., 2012

Regularization Path for Linear Model via Net Method.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

SAR range ambiguity suppression via sparse regularization.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement.
IEEE Trans. Image Processing, 2011

Essential rate for approximation by spherical neural networks.
Neural Networks, 2011

Neural networks and the best trigomometric approximation.
J. Systems Science & Complexity, 2011

Incremental Alignment Manifold Learning.
J. Comput. Sci. Technol., 2011

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.
IJWMIP, 2011

Estimation of learning rate of least square algorithm via Jackson operator.
Neurocomputing, 2011

A new quality assessment criterion for nonlinear dimensionality reduction.
Neurocomputing, 2011

Optimal rate of the regularized regression learning algorithm.
Int. J. Comput. Math., 2011

Some results on the lexicographic product of vertex-transitive graphs.
Appl. Math. Lett., 2011

SAR imaging from compressed measurements based on L1/2 regularization.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Video Primal Sketch: A generic middle-level representation of video.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Image Inpainting by Patch Propagation Using Patch Sparsity.
IEEE Trans. Image Processing, 2010

Scale selection for anisotropic diffusion filter by Markov random field model.
Pattern Recognition, 2010

New study on neural networks: the essential order of approximation.
Neural Networks, 2010

Constructive approximate interpolation by neural networks in the metric space.
Mathematical and Computer Modelling, 2010

On the P-critical dynamics analysis of projection recurrent neural networks.
Neurocomputing, 2010

Approximation capability of interpolation neural networks.
Neurocomputing, 2010

L1/2 regularization.
SCIENCE CHINA Information Sciences, 2010

2009
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

When Does Online BP Training Converge?
IEEE Trans. Neural Networks, 2009

The generalization performance of ERM algorithm with strongly mixing observations.
Machine Learning, 2009

Learning from uniformly ergodic Markov chains.
J. Complexity, 2009

A critical global convergence analysis of recurrent neural networks with general projection mappings.
Neurocomputing, 2009

On [[n,n-4,3]]q Quantum MDS Codes for odd prime power q
CoRR, 2009

Lower estimation of approximation rate for neural networks.
Science in China Series F: Information Sciences, 2009

2008
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

On The Classification of Binary Optimal Self-Orthogonal Codes.
IEEE Trans. Information Theory, 2008

Standard Forms of Stabilizer and Normalizer Matrices for Additive Quantum Codes.
IEEE Trans. Information Theory, 2008

Improving geodesic distance estimation based on locally linear assumption.
Pattern Recognition Letters, 2008

Latent semantic analysis for text categorization using neural network.
Knowl.-Based Syst., 2008

A comparative study for content-based dynamic spam classification using four machine learning algorithms.
Knowl.-Based Syst., 2008

The essential order of approximation for Suzuki's neural networks.
Neurocomputing, 2008

The estimate for approximation error of neural networks: A constructive approach.
Neurocomputing, 2008

Inequalities and solution of an operator equation.
Appl. Math. Lett., 2008

An Improvement to Ant Colony Optimization Heuristic.
Proceedings of the Advances in Neural Networks, 2008

Data Mining Technologies Inspired from Visual Principle.
Proceedings of the Intelligent Information Processing IV, 2008

Image super-resolution using gradient profile prior.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems.
IEEE Trans. Automat. Contr., 2007

On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions.
IEEE Trans. Automat. Contr., 2007

Transformation of rough set models.
Knowl.-Based Syst., 2007

A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms.
Applied Mathematics and Computation, 2007

The essential order of simultaneous approximation for neural networks.
Applied Mathematics and Computation, 2007

Constructive Trigonometric Function Approximation of Neural Networks.
Proceedings of the Third International Conference on Semantics, 2007

New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings.
Proceedings of the Advances in Neural Networks, 2007

Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding.
Proceedings of the Advances in Neural Networks, 2007

Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Immunity diversity based multi-agent intrusion detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks.
IEEE Trans. on Circuits and Systems, 2006

The essential order of approximation for nearly exponential type neural networks.
Science in China Series F: Information Sciences, 2006

Approximation Bound of Mixture Networks in Lomegap Spaces.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Integral Transform and Its Application to Neural Network Approximation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A New Pre-processing Method for Regression.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
A critical analysis on global convergence of Hopfield-type neural networks.
IEEE Trans. on Circuits and Systems, 2005

Scalable model-based cluster analysis using clustering features.
Pattern Recognition, 2005

Simultaneous Lp-approximation order for neural networks.
Neural Networks, 2005

Variable Programming: A Generalized Minimax Problem. Part II: Algorithms.
Comp. Opt. and Appl., 2005

Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory.
Comp. Opt. and Appl., 2005

A New Approach for Classification: Visual Simulation Point of View.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Generalization and Property Analysis of GENET.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Pointwise Approximation for Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
A comparative study of two modeling approaches in neural networks.
Neural Networks, 2004

A heuristic training for support vector regression.
Neurocomputing, 2004

An expanding self-organizing neural network for the traveling salesman problem.
Neurocomputing, 2004

Rough Set Models on Two universes.
Int. J. General Systems, 2004

Strong fuzzy compact sets and ultra-fuzzy compact sets in L-topological spaces.
Fuzzy Sets and Systems, 2004

The essential order of approximation for neural networks.
Science in China Series F: Information Sciences, 2004

Approximation Bounds by Neural Networks in Lpomega.
Proceedings of the Advances in Neural Networks, 2004

2003
A reference model approach to stability analysis of neural networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003

An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003

Determination of the spread parameter in the Gaussian kernel for classification and regression.
Neurocomputing, 2003

Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs.
Applied Mathematics and Computation, 2003

2002
A new approach to stability of neural networks with time-varying delays.
Neural Networks, 2002

Inclusion degree: a perspective on measures for rough set data analysis.
Inf. Sci., 2002

The Algorithm on Knowledge Reduction in Incomplete Information Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002

An automata network for performing combinatorial optimization.
Neurocomputing, 2002

2001
A new data processing method based on a biological model of the compound eye: direction quantization representation.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2001

Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks.
IEEE Trans. Neural Networks, 2001

A new model of simulated evolutionary computation-convergence analysis and specifications.
IEEE Trans. Evolutionary Computation, 2001

2000
Clustering by Scale-Space Filtering.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Characterizations of minimal T3 L-fuzzy topological spaces.
Inf. Sci., 2000

1998
Optimal neural network algorithm for on-line string matching.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

A genetic algorithm for the multiple destination routing problems.
IEEE Trans. Evolutionary Computation, 1998

The optimal encodings for biased association in linear associative memories.
Neural Networks, 1998

1997
Neural networks for convex hull computation.
IEEE Trans. Neural Networks, 1997

Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis.
IEEE Trans. Neural Networks, 1997

1996
Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks.
IEEE Trans. Neural Networks, 1996

A Decomposition Principle for Complexity Reduction of Artificial Neural Networks.
Neural Networks, 1996

Asymmetric Hopfield-type networks: Theory and applications.
Neural Networks, 1996

The Heuristics for the Constrained Multicast Routing.
Proceedings of the Concurrency and Parallelism, 1996

1995
A competitive associative memory model and its dynamics.
IEEE Trans. Neural Networks, 1995

Multiple-Valued Feedback and Recurrent Correlation Neural Networks.
Neural Computing and Applications, 1995

1992
A comparison of point and ball iterations in the contractive mapping case.
Computing, 1992

1985
Generalized Theory and Some Specializations of the Region Contraction Algorithm I - Ball Operation.
Proceedings of the Interval Mathemantics 1985: Proceedings of the International Symposium, 1985


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