Qiaolin Ye
Qiaolin Ye
Associate Professor,Nanjing Forestry University
Verified email at njfu.edu.cn
Cited by
Cited by
Recursive projection twin support vector machine via within-class variance minimization
X Chen, J Yang, Q Ye, J Liang
Pattern Recognition 44 (10-11), 2643-2655, 2011
L1-norm distance linear discriminant analysis based on an effective iterative algorithm
Q Ye, J Yang, F Liu, C Zhao, N Ye, T Yin
IEEE Transactions on Circuits and Systems for Video Technology, 2018
Weighted twin support vector machines with local information and its application
Q Ye, C Zhao, S Gao, H Zheng
Neural Networks 35, 31-39, 2012
Recursive robust least squares support vector regression based on maximum correntropy criterion
X Chen, J Yang, J Liang, Q Ye
Neurocomputing 97, 63-73, 2012
Multi-weight vector projection support vector machines
Q Ye, C Zhao, N Ye, Y Chen
Pattern Recognition Letters 31 (13), 2006-2011, 2010
1-Norm least squares twin support vector machines
S Gao, Q Ye, N Ye
Neurocomputing 74 (17), 3590-3597, 2011
L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector-Plane Clustering
Q Ye, H Zhao, Z Li, X Yang, S Gao, T Yin, N Ye
IEEE transactions on neural networks and learning systems 29 (9), 4494-4503, 2017
Smooth twin support vector regression
X Chen, J Yang, J Liang, Q Ye
Neural Computing and Applications 21 (3), 505-513, 2012
Least squares twin bounded support vector machines based on L1-norm distance metric for classification
H Yan, Q Ye, T Zhang, DJ Yu, X Yuan, Y Xu, L Fu
Pattern recognition 74, 434-447, 2018
Organellar genome assembly methods and comparative analysis of horticultural plants
X Wang, F Cheng, D Rohlsen, C Bi, C Wang, Y Xu, S Wei, Q Ye, T Yin, ...
Horticulture research 5 (1), 1-13, 2018
Localized twin SVM via convex minimization
Q Ye, C Zhao, N Ye, X Chen
Neurocomputing 74 (4), 580-587, 2011
Nonpeaked discriminant analysis for data representation
Q Ye, Z Li, L Fu, Z Zhang, W Yang, G Yang
IEEE transactions on neural networks and learning systems 30 (12), 3818-3832, 2019
Lp-and Ls-norm distance based robust linear discriminant analysis
Q Ye, L Fu, Z Zhang, H Zhao, M Naiem
Neural Networks 105, 393-404, 2018
Feature selection for least squares projection twin support vector machine
J Guo, P Yi, R Wang, Q Ye, C Zhao
Neurocomputing 144, 174-183, 2014
Analysis of the complete mitochondrial genome sequence of the diploid cotton Gossypium raimondii by comparative genomics approaches
C Bi, AH Paterson, X Wang, Y Xu, D Wu, Y Qu, A Jiang, Q Ye, N Ye
BioMed Research International 2016, 2016
Genome-wide identification and characterization of WRKY gene family in Salix suchowensis
C Bi, Y Xu, Q Ye, T Yin, N Ye
PeerJ 4, e2437, 2016
Graph regularized multilayer concept factorization for data representation
X Li, X Shen, Z Shu, Q Ye, C Zhao
Neurocomputing 238, 139-151, 2017
Assembly and comparative analysis of complete mitochondrial genome sequence of an economic plant Salix suchowensis
N Ye, X Wang, J Li, C Bi, Y Xu, D Wu, Q Ye
PeerJ 5, e3148, 2017
Recursive “concave–convex” Fisher linear discriminant with applications to face, handwritten digit and terrain recognition
QL Ye, CX Zhao, HF Zhang, XB Chen
Pattern Recognition 45 (1), 54-65, 2012
Fast orthogonal linear discriminant analysis with application to image classification
Q Ye, N Ye, T Yin
Neurocomputing 158, 216-224, 2015
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