Ning Ye

发表

A Novel Nonlinear Dimensionality Reduction Method for Robust Wood Image Recognition

Zhao Zhang, Ning Ye, Zhao Zhang, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition

Zhao Zhang, Ning Ye, Zhao Zhang, 2010, Comput. Sci. Inf. Syst..

A Fast Least Squares Support Vector Machine Training Approach

Qiaolin Ye, Ning Ye, Jing Cui, 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems.

Sample Selection in Support Vector Machines: A Fixed Neighborhood Sphere Approach

Ning Ye, Dongyin Pan, Yujun Yin, 2016, 2016 3rd International Conference on Information Science and Control Engineering (ICISCE).

L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector

$k$

-Plane Clustering

Zechao Li, Qiaolin Ye, Ning Ye, 2018 .

Incorporating neighbors’ distribution knowledge into support vector machines

Sheng Xu, Ning Ye, Jian Yang, 2016, Soft Computing.

Density-based weighting multi-surface least squares classification with its applications

Qiaolin Ye, Ning Ye, Shangbing Gao, 2012, Knowledge and Information Systems.

Relative density degree induced boundary detection for one-class SVM

Ning Ye, Jian Yang, Fa Zhu, 2015, Soft Computing.

Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173]

Ning Ye, Fa Zhu, Wei Yu, 2014, Neurocomputing.

Flexible orthogonal semisupervised learning for dimension reduction with image classification

Haofeng Zhang, Chunxia Zhao, Ning Ye, 2014, Neurocomputing.

A feature selection method for nonparallel plane support vector machine classification

Chunxia Zhao, Xiaobo Chen, Ning Ye, 2012, Optim. Methods Softw..

1-Norm least squares twin support vector machines

Shangbing Gao, Ning Ye, Qiaolin Ye, 2011, Neurocomputing.

Distance difference and linear programming nonparallel plane classifier

Haofeng Zhang, Chunxia Zhao, Ning Ye, 2011, Expert Syst. Appl..

Localized twin SVM via convex minimization

Chunxia Zhao, Xiaobo Chen, Ning Ye, 2011, Neurocomputing.

SEMISUPERVISED MULTIMODAL DIMENSIONALITY REDUCTION

Tommy W. S. Chow, Zhao Zhang, Ning Ye, 2013, Comput. Intell..

Locality preserving multimodal discriminative learning for supervised feature selection

Zhao Zhang, Ning Ye, Zhao Zhang, 2011, Knowledge and Information Systems.

Multi-weight vector projection support vector machines

Ning Ye, Qiaolin Ye, Chunxia Zhao, 2010, Pattern Recognit. Lett..

Recursive soft margin subspace learning

Chunxia Zhao, Ning Ye, Qiaolin Ye, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Relative density degree induced boundary detection for one-class SVM

Jian Yang, Ning Ye, Sheng Xu, 2016, Soft Comput..

A weighted one-class support vector machine

Jian Yang, Ning Ye, Sheng Xu, 2016, Neurocomputing.

Boundary detection and sample reduction for one-class Support Vector Machines

Ning Ye, Fa Zhu, Wei Yu, 2014, Neurocomputing.

L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector $k$ -Plane Clustering

Zechao Li, Shangbing Gao, Ning Ye, 2018, IEEE Transactions on Neural Networks and Learning Systems.

L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm

Jian Yang, Chunxia Zhao, Ning Ye, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Automatic extraction of street trees' nonphotosynthetic components from MLS data

Ning Ye, Sheng Xu, Shanshan Xu, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Support vector machine with orthogonal Chebyshev kernel

Ruixiang Sun, Ning Ye, Yingan Liu, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A supervoxel approach to the segmentation of individual trees from LiDAR point clouds

Ning Ye, Sheng Xu, Shanshan Xu, 2018 .

Support vectors classification and incremental learning

Ning Ye, Sheng Xu, Fa Zhu, 2011, 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference.

Localized Multi-plane TWSVM Classifier via Manifold Regularization

Ning Ye, Qiaolin Ye, Qiaolin Ye, 2010, 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics.

Neighbors' distribution property and sample reduction for support vector machines

Jian Yang, Ning Ye, Fa Zhu, 2014, Appl. Soft Comput..

A new method for shoreline extraction from airborne LiDAR point clouds

Ning Ye, Shanshan Xu, Sheng Xu, 2019, Remote Sensing Letters.

Learning a tensor subspace for semi-supervised dimensionality reduction

Zhao Zhang, Ning Ye, Zhao Zhang, 2011, Soft Comput..

Large margin distribution multi-class supervised novelty detection

W. Zhang, Ning Ye, Xizhan Gao, 2023, Expert Syst. Appl..

Locality Preserving Multi-Projection Vector Fisher Discriminant Analysis: Locality Preserving Multi-Projection Vector Fisher Discriminant Analysis

Ning Ye, Zhao Zhang, Qiao-Lin Ye, 2010 .

Orthogonal subspace based nonlinear correlation learning for supervised dimensionality reduction

Hui Du, Zhao Zhang, Ning Ye, 2009, 2009 IEEE International Conference on Granular Computing.

Enhanced multi-weight vector projection support vector machine

Ning Ye, Qiaolin Ye, Tongming Yin, 2014, Pattern Recognit. Lett..

Robust capped L1-norm twin support vector machine

Ning Ye, Qiaolin Ye, Peng Luo, 2019, Neural Networks.

Improved Proximal Support Vector Machine via Generalized Eigenvalues

Ning Ye, Qiaolin Ye, Qiaolin Ye, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss

Ning Ye, Heng-fu Yin, Yupeng Wang, 2023, Remote Sensing.

Collaborative Filtering Recommendation Algorithm Based on Item Clustering and Global Similarity

Jian Zhu, Ning Ye, Suyun Wei, 2012, 2012 Fifth International Conference on Business Intelligence and Financial Engineering.

Time-Aware Collaborative Filtering for Recommender Systems

Ning Ye, Qianqian Zhang, Suyun Wei, 2012, CCPR.

Incorporating neighbors’ distribution knowledge into support vector machines

Ning Ye, Fa Zhu, Tongming Yin, 2016, Soft Computing.

Incremental Support Vector Machine Learning: An Angle Approach

Ning Ye, Fa Zhu, Dongyin Pan, 2011, 2011 Fourth International Joint Conference on Computational Sciences and Optimization.

Constraint Projections for Discriminative Support Vector Machines

Zhao Zhang, Ning Ye, Zhao Zhang, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Pre-extracting boundary vectors for support vector machine using pseudo-density estimation method

Licheng Jiao, Li Zhang, Weida Zhou, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction

Zhao Zhang, Ning Ye, Man Jiang, 2010, Artificial Intelligence Review.

Item-Based Collaborative Filtering Recommendation Algorithm Combining Item Category with Interestingness Measure

Jian Zhu, Shuo Zhang, Ning Ye, 2012, 2012 International Conference on Computer Science and Service System.