Jiangshe Zhang

Lizhen Ji

Meng Wang

IEEE Trans. Fuzzy Syst., April, 2024

Back-propagating errors through artificial neural networks for variable selection.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., March, 2024

A deep learning-based Monte Carlo simulation scheme for stochastic differential equations driven by fractional Brownian motion.

[BibT_eX]

[DOI]

Fei Gao

Cornelis W. Oosterlee

Neurocomputing, March, 2024

Attention-based deformable convolutional network for Chinese various dynasties character recognition.

[BibT_eX]

[DOI]

Sheng Zhuo

Expert Syst. Appl., March, 2024

Convolutional neural network incorporating misclassification information for image recognition.

[BibT_eX]

[DOI]

Soft Comput., January, 2024

Image Fusion via Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy.

[BibT_eX]

[DOI]

CoRR, 2024

2023

MBIAN: Multi-level bilateral interactive attention network for multi-modal image processing.

[BibT_eX]

[DOI]

Expert Syst. Appl., November, 2023

Dimensionality reduction by t-Distribution adaptive manifold embedding.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty.

[BibT_eX]

[DOI]

Comput. Geosci., September, 2023

Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management.

[BibT_eX]

[DOI]

Neural Comput. Appl., March, 2023

Regeneration-Constrained Self-Supervised Seismic Data Interpolation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening.

[BibT_eX]

[DOI]

Remote. Sens., 2023

Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction.

[BibT_eX]

[DOI]

Neural Process. Lett., 2023

Hybrid Shot2Shot and Re-De-Noising Regularization for Random Noise Attenuation of Seismic Data.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Consecutively Missing Seismic Data Reconstruction Via Wavelet-Based Swin Residual Network.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Uncertainty Quantification for Picking Robust First Break Times.

[BibT_eX]

[DOI]

CoRR, 2023

Equivariant Multi-Modality Image Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

An information-theoretic learning model based on importance sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Importance Sampling Deterministic Annealing for Clustering.

[BibT_eX]

[DOI]

Lizhen Ji

Meng Wang

CoRR, 2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Hybrid Loss-Guided Coarse-to-Fine Model for Seismic Data Consecutively Missing Trace Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Toward a Controllable Disentanglement Network.

[BibT_eX]

[DOI]

Zengjie Song

Oluwasanmi Koyejo

IEEE Trans. Cybern., 2022

Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2022

Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior.

[BibT_eX]

[DOI]

Signal Process., 2022

A Novel Data Augmentation Method for Chinese Character Spatial Structure Recognition by Normalized Deformable Convolutional Networks.

[BibT_eX]

[DOI]

Sheng Zhuo

Neural Process. Lett., 2022

Seismic Data Reconstruction via Recurrent Residual Multiscale Inference.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

A model-driven network for guided image denoising.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

Forecasting stock volatility and value-at-risk based on temporal convolutional networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Multi-view clustering via robust consistent graph learning.

[BibT_eX]

[DOI]

Digit. Signal Process., 2022

MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network.

[BibT_eX]

[DOI]

CoRR, 2022

Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion.

[BibT_eX]

[DOI]

Chengli Tan

CoRR, 2022

Automatic Velocity Picking Using Unsupervised Ensemble Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-supervised nonnegative matrix factorization with positive and negative label propagations.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Pansharpening Via Neighbor Embedding of Spatial Details.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

MFIF-GAN: A new generative adversarial network for multi-focus image fusion.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

CondenseNet with exclusive lasso regularization.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Saliency-based YOLO for single target detection.

[BibT_eX]

[DOI]

Junying Hu

C.-J. Richard Shi

Knowl. Inf. Syst., 2021

A parallel multi-module deep reinforcement learning algorithm for stock trading.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Understanding Long Range Memory Effects in Deep Neural Networks.

[BibT_eX]

[DOI]

Chengli Tan

CoRR, 2021

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Gradient Projection Networks for Pan-sharpening.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Robust CP Tensor Factorization With Skew Noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

A distributed parallel training method of deep belief networks.

[BibT_eX]

[DOI]

Soft Comput., 2020

Bayesian fusion for infrared and visible images.

[BibT_eX]

[DOI]

Signal Process., 2020

PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Weighted-capsule routing via a fuzzy gaussian model.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Neural network with multiple connection weights.

[BibT_eX]

[DOI]

Junying Hu

Pattern Recognit., 2020

Adaptive quantile low-rank matrix factorization.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

ELMAENet: A Simple, Effective and Fast Deep Architecture for Image Classification.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Bayesian deep matrix factorization network for multiple images denoising.

[BibT_eX]

[DOI]

Neural Networks, 2020

Face clustering via learning a sparsity preserving low-rank graph.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

On selective learning in stochastic stepwise ensembles.

[BibT_eX]

[DOI]

Sang-Woon Kim

Int. J. Mach. Learn. Cybern., 2020

Variational Bayesian weighted complex network reconstruction.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Penetrating the influence of regularizations on neural network based on information bottleneck theory.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Domain Adaptive Object Detection via Feature Separation and Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Convolutional Sparse Coding Networks for Image Fusion.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.

[BibT_eX]

[DOI]

CoRR, 2020

MFFW: A new dataset for multi-focus image fusion.

[BibT_eX]

[DOI]

CoRR, 2020

Towards A Controllable Disentanglement Network.

[BibT_eX]

[DOI]

Zengjie Song

Oluwasanmi Koyejo

CoRR, 2020

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Enhanced Back-Projection as Postprocessing for Pansharpening.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Enhance the Performance of Deep Neural Networks via L2 Regularization on the Input of Activations.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

Discriminative Representation Learning with Supervised Auto-encoder.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

A new variant of restricted Boltzmann machine with horizontal connections.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Discriminative low-rank representation with Schatten-p norm for image recognition.

[BibT_eX]

[DOI]

Changpeng Wang

Guang Shi

Multim. Tools Appl., 2019

Convolutional Sparse Representation of Injected Details for Pansharpening.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

FPCANet: Fisher discrimination for Principal Component Analysis Network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Discriminative multi-modal deep generative models.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

The Phase and Shift-Invariant Feature by Adaptive Independent Subspace Analysis for Cortical Complex Cells.

[BibT_eX]

[DOI]

Inf. Technol. Control., 2019

A neuro-heuristic approach for recognition of lung diseases from X-ray images.

[BibT_eX]

[DOI]

Robertas Damasevicius

Expert Syst. Appl., 2019

A novel variational Bayesian method for variable selection in logistic regression models.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2019

Learning Controllable Disentangled Representations with Decorrelation Regularization.

[BibT_eX]

[DOI]

Zengjie Song

Oluwasanmi Koyejo

CoRR, 2019

Adaptive Independent Subspace Analysis of Brain Magnetic Resonance Imaging Data.

[BibT_eX]

[DOI]

Qiao Ke

Wei Wei

Robertas Damasevicius

Marcin Wozniak

IEEE Access, 2019

2018

A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks.

[BibT_eX]

[DOI]

Changsheng Zhou

Knowl. Based Syst., 2018

Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models.

[BibT_eX]

[DOI]

Qing-Yan Yin

Knowl. Based Syst., 2018

Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Big data analytics enabled by feature extraction based on partial independence.

[BibT_eX]

[DOI]

Neurocomputing, 2018

An effective hierarchical extreme learning machine based multimodal fusion framework.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Graph Regularized Nonnegative Matrix Factorization with Sample Diversity for Image Representation.

[BibT_eX]

[DOI]

Changpeng Wang

Xueli Song

Eng. Appl. Artif. Intell., 2018

Variational Bayesian Complex Network Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2018

Robust face recognition via discriminative and common hybrid dictionary learning.

[BibT_eX]

[DOI]

Appl. Intell., 2018

2017

A ranking-based strategy to prune variable selection ensembles.

[BibT_eX]

[DOI]

Qingyan Yin

Knowl. Based Syst., 2017

Graph-based discriminative concept factorization for data representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

A new regularized restricted Boltzmann machine based on class preserving.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Graph-regularized CF with local coordinate for image representation.

[BibT_eX]

[DOI]

Huirong Li

J. Vis. Commun. Image Represent., 2017

Generalized extreme learning machine autoencoder and a new deep neural network.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Graph-based discriminative nonnegative matrix factorization with label information.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Robust visual tracking using information theoretical learning.

[BibT_eX]

[DOI]

Weifu Ding

Ann. Math. Artif. Intell., 2017

2016

ℓ<sub>1/2, 1</sub> group sparse regularization for compressive sensing.

[BibT_eX]

[DOI]

Signal Image Video Process., 2016

On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features.

[BibT_eX]

[DOI]

Juan Wang

Mingming Zhao

Pattern Anal. Appl., 2016

Manifold regularized non-negative matrix factorization with label information.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2016

Class-driven concept factorization for image representation.

[BibT_eX]

[DOI]

Huirong Li

Neurocomputing, 2016

A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons.

[BibT_eX]

[DOI]

Neurocomputing, 2016

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection.

[BibT_eX]

[DOI]

Sang-Woon Kim

Comput. Stat., 2016

2015

Singular Value Decomposition Projection for solving the small sample size problem in face recognition.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2015

Learning latent features by nonnegative matrix factorization combining similarity judgments.

[BibT_eX]

[DOI]

Changpeng Wang

Yu-Qian Yang

Neurocomputing, 2015

Enhancing performance of the backpropagation algorithm via sparse response regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models.

[BibT_eX]

[DOI]

Guan-Wei Wang

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014

Enhancing Low-Rank Subspace Clustering by Manifold Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Spectral Unmixing via Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2014

Learning ensemble classifiers via restricted Boltzmann machines.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

A sparse-response deep belief network based on rate distortion theory.

[BibT_eX]

[DOI]

Nan-Nan Ji

Pattern Recognit., 2014

Enhancing performance of restricted Boltzmann machines via log-sum regularization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2014

Parallel tempering with equi-energy moves for training of restricted boltzmann machines.

[BibT_eX]

[DOI]

Nannan Ji

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2012

Enhancing Spectral Unmixing by Local Neighborhood Weights.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Face recognition using Elasticfaces.

[BibT_eX]

[DOI]

Fei Zang

Jiyuan Pan

Pattern Recognit., 2012

Label propagation through sparse neighborhood and its applications.

[BibT_eX]

[DOI]

Fei Zang

Neurocomputing, 2012

2011

Large margin based nonnegative matrix factorization and partial least squares regression for face recognition.

[BibT_eX]

[DOI]

Jiyuan Pan

Pattern Recognit. Lett., 2011

Discriminative learning by sparse representation for classification.

[BibT_eX]

[DOI]

Fei Zang

Neurocomputing, 2011

A nonparametric circular-linear multivariate regression model with a rule-of-thumb bandwidth selector.

[BibT_eX]

[DOI]

Xu Qin

Xiaodong Yan

Comput. Math. Appl., 2011

2010

A variant of Rotation Forest for constructing ensemble classifiers.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2010

Svr+rvr: a Robust Sparse Kernel Method for Regression.

[BibT_eX]

[DOI]

Gao Guo

Int. J. Artif. Intell. Tools, 2010

Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2010

2009

A novel method for constructing ensemble classifiers.

[BibT_eX]

[DOI]

Stat. Comput., 2009

A method to sparsify the solution of support vector regression.

[BibT_eX]

[DOI]

Gao Guo

Neural Comput. Appl., 2009

Using Boosting to prune Double-Bagging ensembles.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2009

Edge-Preserving Filtering for Grey and Color Image.

[BibT_eX]

[DOI]

Xing-Fang Huang

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008

RotBoost: A technique for combining Rotation Forest and AdaBoost.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2008

A new constructing auxiliary function method for global optimization.

[BibT_eX]

[DOI]

Math. Comput. Model., 2008

A local boosting algorithm for solving classification problems.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2008

Enhanced piecewise regression based on deterministic annealing.

[BibT_eX]

[DOI]

Sci. China Ser. F Inf. Sci., 2008

An empirical study of using Rotation Forest to improve regressors.

[BibT_eX]

[DOI]

Guan-Wei Wang

Appl. Math. Comput., 2008

A Sufficient Condition for Uniform Convergence of Stationary p-Subdivision Scheme.

[BibT_eX]

[DOI]

Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008

2007

Reducing examples to accelerate support vector regression.

[BibT_eX]

[DOI]

Gao Guo

Pattern Recognit. Lett., 2007

A dynamic clustering based differential evolution algorithm for global optimization.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2007

An empirical study of a test for polynomial relationships in randomly right censored regression models.

[BibT_eX]

[DOI]

Chang-Lin Mei

Comput. Stat. Data Anal., 2007

An improved kernel regression method based on Taylor expansion.

[BibT_eX]

[DOI]

Xing-Fang Huang

Chenghu Zhou

Appl. Math. Comput., 2007

Global optimization by an improved differential evolutionary algorithm.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2007

2005

Variable Programming: A Generalized Minimax Problem. Part II: Algorithms.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2005

Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2005

An Effective and Efficient Two Stage Algorithm for Global Optimization.

[BibT_eX]

[DOI]

Yu-Fen Zhang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

2004

Improved possibilistic C-means clustering algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2004

2003

Robust clustering by pruning outliers.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2003

2001

A new data processing method based on a biological model of the compound eye: direction quantization representation.

[BibT_eX]

[DOI]

Hong Qiao

IEEE Trans. Syst. Man Cybern. Part A, 2001

2000

Clustering by Scale-Space Filtering.

[BibT_eX]

[DOI]

Yee Leung

IEEE Trans. Pattern Anal. Mach. Intell., 2000

1998

Optimal neural network algorithm for on-line string matching.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1998

An approximate algorithm for computing multidimensional convex hulls.

[BibT_eX]

[DOI]

Zong-Ben Xu

Appl. Math. Comput., 1998

1997

Neural networks for convex hull computation.

[BibT_eX]

[DOI]

Yee Leung