Fa Zhu
Fa Zhu
Nanjing Forestry University
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Cited by
Cited by
Neighborhood linear discriminant analysis
F Zhu, J Gao, J Yang, N Ye
Pattern Recognition 123, 108422, 2022
A weighted one-class support vector machine
F Zhu, J Yang, C Gao, S Xu, N Ye, T Yin
Neurocomputing 189, 1-10, 2016
Boundary detection and sample reduction for one-class support vector machines
F Zhu, N Ye, W Yu, S Xu, G Li
Neurocomputing 123, 166-173, 2014
Automatic extraction of street trees’ nonphotosynthetic components from MLS data
S Xu, S Xu, N Ye, F Zhu
International journal of applied earth observation and geoinformation 69, 64-77, 2018
Extended nearest neighbor chain induced instance-weights for SVMs
F Zhu, J Yang, J Gao, C Xu
Pattern Recognition 60, 863-874, 2016
On removing potential redundant constraints for SVOR learning
F Zhu, Y Ning, X Chen, Y Zhao, Y Gang
Applied Soft Computing 102, 106941, 2021
On selecting effective patterns for fast support vector regression training
F Zhu, J Gao, C Xu, J Yang, D Tao
IEEE transactions on neural networks and learning systems 29 (8), 3610-3622, 2017
A supervoxel approach to the segmentation of individual trees from LiDAR point clouds
S Xu, N Ye, S Xu, F Zhu
Remote Sensing Letters 9 (6), 515-523, 2018
Joint metric learning-based class-specific representation for image set classification
X Gao, S Niu, D Wei, X Liu, T Wang, F Zhu, J Dong, Q Sun
IEEE Transactions on Neural Networks and Learning Systems, 2022
Large margin distribution multi-class supervised novelty detection
F Zhu, W Zhang, X Chen, X Gao, N Ye
Expert Systems with Applications 224, 119937, 2023
Feature selection boosted by unselected features
W Zheng, S Chen, Z Fu, F Zhu, H Yan, J Yang
IEEE transactions on neural networks and learning systems 33 (9), 4562-4574, 2021
Neighbors’ distribution property and sample reduction for support vector machines
F Zhu, J Yang, N Ye, C Gao, G Li, T Yin
Applied Soft Computing 16, 201-209, 2014
Finding the samples near the decision plane for support vector learning
F Zhu, J Yang, J Gao, C Xu, S Xu, C Gao
Information Sciences 382, 292-307, 2017
Manifold transfer subspace learning based on double relaxed discriminative regression
Z Liu, F Zhu, K Zhang, Z Lai, H Huo
Artificial Intelligence Review 56 (Suppl 1), 959-981, 2023
Relative margin induced support vector ordinal regression
F Zhu, X Chen, S Chen, W Zheng, W Ye
Expert Systems with Applications 231, 120766, 2023
Individual stem detection in residential environments with MLS data
S Xu, S Xu, N Ye, F Zhu
Remote sensing letters 9 (1), 51-60, 2018
Low-rank structure preserving for unsupervised feature selection
W Zheng, C Xu, J Yang, J Gao, F Zhu
Neurocomputing 314, 360-370, 2018
Relative density degree induced boundary detection for one-class SVM
F Zhu, J Yang, S Xu, C Gao, N Ye, T Yin
Soft Computing 20, 4473-4485, 2016
Constraint-weighted support vector ordinal regression to resist constraint noises
F Zhu, X Chen, X Gao, W Ye, H Zhao, AV Vasilakos
Information Sciences 649, 119644, 2023
Anomaly detection‐based intelligent computing in internet of things and network applications
F Zhu, R Shankaran, B Zhao, Y Zhao, Y Gang, X Chen
Internet Technology Letters 4 (3), e293, 2021
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