Shifei Ding

According to our database1, Shifei Ding authored at least 170 papers between 2005 and 2020.

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Bibliography

2020
Active constraint spectral clustering based on Hessian matrix.
Soft Comput., 2020

Multi-view RBM with posterior consistency and domain adaptation.
Inf. Sci., 2020

Research on fingerprint classification based on twin support vector machine.
IET Image Processing, 2020

Energy-based structural least squares MBSVM for classification.
Appl. Intell., 2020

Adversarial Training Methods for Boltzmann Machines.
IEEE Access, 2020

2019
A feasible density peaks clustering algorithm with a merging strategy.
Soft Comput., 2019

L1-norm loss-based projection twin support vector machine for binary classification.
Soft Comput., 2019

BEMD image fusion based on PCNN and compressed sensing.
Soft Comput., 2019

A multiway p-spectral clustering algorithm.
Knowl.-Based Syst., 2019

A novel density peaks clustering with sensitivity of local density and density-adaptive metric.
Knowl. Inf. Syst., 2019

Multiple Birth Support Vector Machine with Triplet Loss Function.
J. Inf. Sci. Eng., 2019

A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems.
Eng. Appl. Artif. Intell., 2019

The multi-tag semantic correlation used for micro-blog user interest modeling.
Eng. Appl. Artif. Intell., 2019

Research Progress on Semi-Supervised Clustering.
Cognitive Computation, 2019

Applications of asynchronous deep reinforcement learning based on dynamic updating weights.
Appl. Intell., 2019

Multimodal correlation deep belief networks for multi-view classification.
Appl. Intell., 2019

Single image super-resolution using a polymorphic parallel CNN.
Appl. Intell., 2019

An effective asynchronous framework for small scale reinforcement learning problems.
Appl. Intell., 2019

A new asynchronous reinforcement learning algorithm based on improved parallel PSO.
Appl. Intell., 2019

A comparative study of neural-network feature weighting.
Artif. Intell. Rev., 2019

A review on multi-class TWSVM.
Artif. Intell. Rev., 2019

An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity.
IEEE Access, 2019

2018
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm.
Soft Comput., 2018

Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors.
Soft Comput., 2018

Discrete space reinforcement learning algorithm based on support vector machine classification.
Pattern Recognit. Lett., 2018

Research of stacked denoising sparse autoencoder.
Neural Computing and Applications, 2018

DPCG: an efficient density peaks clustering algorithm based on grid.
Int. J. Machine Learning & Cybernetics, 2018

Density peaks clustering using geodesic distances.
Int. J. Machine Learning & Cybernetics, 2018

A robust density peaks clustering algorithm using fuzzy neighborhood.
Int. J. Machine Learning & Cybernetics, 2018

An improved fingerprint orientation field extraction method based on quality grading scheme.
Int. J. Machine Learning & Cybernetics, 2018

An improved density peaks clustering algorithm with fast finding cluster centers.
Knowl.-Based Syst., 2018

A semi-supervised approximate spectral clustering algorithm based on HMRF model.
Inf. Sci., 2018

An overview on Restricted Boltzmann Machines.
Neurocomputing, 2018

An overview on probability undirected graphs and their applications in image processing.
Neurocomputing, 2018

Image segmentation algorithm based on superpixel clustering.
IET Image Processing, 2018

Collaborative filtering model for enhancing fingerprint image.
IET Image Processing, 2018

NSCT-PCNN image fusion based on image gradient motivation.
IET Computer Vision, 2018

Rank-Adaptive Non-Negative Matrix Factorization.
Cognitive Computation, 2018

An image response framework for no-reference image quality assessment.
Comput. Electr. Eng., 2018

Asynchronous reinforcement learning algorithms for solving discrete space path planning problems.
Appl. Intell., 2018

Research and development of neural network ensembles: a survey.
Artif. Intell. Rev., 2018

A K-AP Clustering Algorithm Based on Manifold Similarity Measure.
Proceedings of the Intelligent Information Processing IX, 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency.
Proceedings of the Intelligent Information Processing IX, 2018

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
A Nyström spectral clustering algorithm based on probability incremental sampling.
Soft Comput., 2017

A novel density peaks clustering algorithm for mixed data.
Pattern Recognit. Lett., 2017

Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification.
Pattern Recognition, 2017

Pulse-coupled neural networks and parameter optimization methods.
Neural Computing and Applications, 2017

Twin support vector machine: theory, algorithm and applications.
Neural Computing and Applications, 2017

An overview on semi-supervised support vector machine.
Neural Computing and Applications, 2017

Extreme learning machine with kernel model based on deep learning.
Neural Computing and Applications, 2017

Research on denoising sparse autoencoder.
Int. J. Machine Learning & Cybernetics, 2017

Unsupervised extreme learning machine with representational features.
Int. J. Machine Learning & Cybernetics, 2017

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data.
Memetic Computing, 2017

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood.
Knowl.-Based Syst., 2017

Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective.
Inf. Sci., 2017

Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction.
Inf. Sci., 2017

Medical images segmentation based on improved three-dimensional pulse coupled neural network.
IJWMC, 2017

An improved multiple birth support vector machine for pattern classification.
Neurocomputing, 2017

Wavelet twin support vector machines based on glowworm swarm optimization.
Neurocomputing, 2017

Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement.
IET Biometrics, 2017

Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries.
IET Biometrics, 2017

A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process.
Cognitive Computation, 2017

Research on Point-wise Gated Deep Networks.
Appl. Soft Comput., 2017

L-DP: A Hybrid Density Peaks Clustering Method.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016
Medical image registration based on self-adapting pulse-coupled neural networks and mutual information.
Neural Computing and Applications, 2016

An overview on rough neural networks.
Neural Computing and Applications, 2016

A wavelet extreme learning machine.
Neural Computing and Applications, 2016

Incremental extreme learning machine based on deep feature embedded.
Int. J. Machine Learning & Cybernetics, 2016

Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm.
Int. J. Machine Learning & Cybernetics, 2016

Twin support vector machines based on fruit fly optimization algorithm.
Int. J. Machine Learning & Cybernetics, 2016

Study on density peaks clustering based on k-nearest neighbors and principal component analysis.
Knowl.-Based Syst., 2016

Approximate normalized cuts without Eigen-decomposition.
Inf. Sci., 2016

Research of multi-sided multi-granular neural network ensemble optimization method.
Neurocomputing, 2016

Recent advances in Support Vector Machines.
Neurocomputing, 2016

Denoising Laplacian multi-layer extreme learning machine.
Neurocomputing, 2016

Weight Uncertainty in Boltzmann Machine.
Cognitive Computation, 2016

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering.
Cognitive Computation, 2016

An Adaptive Density Data Stream Clustering Algorithm.
Cognitive Computation, 2016

No-reference image quality assessment based on gradient histogram response.
Comput. Electr. Eng., 2016

Multi layer ELM-RBF for multi-label learning.
Appl. Soft Comput., 2016

Granular multiple birth support vector machine based on weighted linear loss.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Novel Locally Multiple Kernel k-means Based on Similarity.
Proceedings of the Intelligent Information Processing VIII, 2016

Boltzmann Machine and its Applications in Image Recognition.
Proceedings of the Intelligent Information Processing VIII, 2016

p-Spectral Clustering Based on Neighborhood Attribute Granulation.
Proceedings of the Intelligent Information Processing VIII, 2016

A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
A new method for constructing granular neural networks based on rule extraction and extreme learning machine.
Pattern Recognit. Lett., 2015

Weighted least squares projection twin support vector machines with local information.
Neurocomputing, 2015

Twice clustering based individual neural network generation method.
Neurocomputing, 2015

Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN.
IJDSN, 2015

An adaptive extreme learning machine algorithm and its application on face recognition.
IJCSM, 2015

Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors.
Cognitive Computation, 2015

An optimized classification algorithm by BP neural network based on PLS and HCA.
Appl. Intell., 2015

Extreme learning machine: algorithm, theory and applications.
Artif. Intell. Rev., 2015

Research on data stream clustering algorithms.
Artif. Intell. Rev., 2015

Research on the hybrid models of granular computing and support vector machine.
Artif. Intell. Rev., 2015

2014
A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine.
Neural Processing Letters, 2014

The latest research progress on spectral clustering.
Neural Computing and Applications, 2014

A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction.
Neural Computing and Applications, 2014

Extreme learning machine and its applications.
Neural Computing and Applications, 2014

Wavelet twin support vector machine.
Neural Computing and Applications, 2014

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network.
Neural Computing and Applications, 2014

Research of semi-supervised spectral clustering algorithm based on pairwise constraints.
Neural Computing and Applications, 2014

An overview on nonparallel hyperplane support vector machine algorithms.
Neural Computing and Applications, 2014

Reduced-reference image quality assessment through SIFT intensity ratio.
Int. J. Machine Learning & Cybernetics, 2014

Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm.
JCP, 2014

Twin Support Vector Machines Based on the Mixed Kernel function.
JCP, 2014

Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy.
JCP, 2014

Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm.
JCP, 2014

Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012).
Neurocomputing, 2014

Recursive least squares projection twin support vector machines for nonlinear classification.
Neurocomputing, 2014

An overview on twin support vector machines.
Artif. Intell. Rev., 2014

Granular neural networks.
Artif. Intell. Rev., 2014

Research and Application Analysis of Feature Binding Mechanism.
Proceedings of the Intelligent Information Processing VII, 2014

2013
Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS).
Neural Computing and Applications, 2013

Research on using genetic algorithms to optimize Elman neural networks.
Neural Computing and Applications, 2013

Research of semi-supervised spectral clustering based on constraints expansion.
Neural Computing and Applications, 2013

A fast fuzzy support vector machine based on information granulation.
Neural Computing and Applications, 2013

Primal least squares twin support vector regression.
Journal of Zhejiang University - Science C, 2013

Attribute Granulation Based on Attribute Discernibility and AP Algorithm.
JSW, 2013

Novel Image Recognition Based on Subspace and SIFT.
JSW, 2013

A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy.
JSW, 2013

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization.
JSW, 2013

A parallel attribute reduction algorithm based on Affinity Propagation clustering.
JCP, 2013

An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets.
JCP, 2013

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines.
JCP, 2013

A Novel Extreme Learning Machine Based on Hybrid Kernel Function.
JCP, 2013

Twin Support Vector Machines Based on Particle Swarm Optimization.
JCP, 2013

Evolutionary artificial neural networks: a review.
Artif. Intell. Rev., 2013

Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

2012
An optimizing method of RBF neural network based on genetic algorithm.
Neural Computing and Applications, 2012

Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm.
Journal of Zhejiang University - Science C, 2012

Guest Editorial.
JSW, 2012

Guest Editorial.
JCP, 2012

A survey on feature extraction for pattern recognition.
Artif. Intell. Rev., 2012

Research of granular support vector machine.
Artif. Intell. Rev., 2012

2011
Research of neural network algorithm based on factor analysis and cluster analysis.
Neural Computing and Applications, 2011

Incremental Learning Algorithm for Support Vector Data Description.
JSW, 2011

Guest Editorial.
JSW, 2011

Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network.
JCP, 2011

Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA).
JCP, 2011

An optimizing BP neural network algorithm based on genetic algorithm.
Artif. Intell. Rev., 2011

Region-based semi-supervised clustering image segmentation.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Guest Editorial.
JSW, 2010

Research and Progress of Cluster Algorithms based on Granular Computing.
JDCTA, 2010

Using Genetic Algorithms to Optimize Artificial Neural Networks.
JCIT, 2010

An Improved BP Neural Network Algorithm Based on Factor Analysis.
JCIT, 2010

Neural Networks Algorithm Based on Factor Analysis.
Proceedings of the Advances in Neural Networks, 2010

2009
Research on a principal components decision algorithm based on information entropy.
J. Inf. Sci., 2009

2008
User Knowledge Requirement Model and its Hybrid Evolution Algorithm.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

Neural Network Research Progress and Applications in Forecast.
Proceedings of the Advances in Neural Networks, 2008

PCA-Based Elman Neural Network Algorithm.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

An improved PCA algorithm based on WIF.
Proceedings of the International Joint Conference on Neural Networks, 2008

Some Progress of Supervised Learning.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Supervised PLS Information Recognition Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

A Survey on Statistical Pattern Feature Extraction.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A Supervised Feature Extraction Algorithm for Multi-class.
Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

A Novel Fuzzy Likelihood Measure Algorithm.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Novel fuzzy information proximity measures.
J. Inf. Sci., 2007

Diversity Analysis of Information Pattern and Information Clustering Algorithm.
Proceedings of the Advances in Computation and Intelligence, 2007

Agent Grid Collaborative Schema Based on Policy.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Supervised Information Feature Compression Algorithm Based on Divergence Criterion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Hierarchical Policy for Agent Grid Collaboration.
Proceedings of the Grid and Cooperative Computing, 2007

Studies on Fuzzy Information Measures.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Supervised feature extraction algorithm based on improved polynomial entropy.
J. Inf. Sci., 2006

Divergence-Based Supervised Information Feature Compression Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion.
Proceedings of the Computational Intelligence, 2006

A Novel Supervised Information Feature Compression Algorithm.
Proceedings of the Computational Science, 2006

Studies on Fuzzy Information Measures.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Studies on incidence pattern recognition based on information entropy.
J. Inf. Sci., 2005


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