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Lingyan Kong
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Journal Articles
- 2019
- [j6]Tao Li, Jiabing Leng, Lingyan Kong, Song Guo
, Gang Bai, Kai Wang
DCNR: deep cube CNN with random forest for hyperspectral image classification. Multim. Tools Appl. 78(3): 3411-3433 (2019) - 2017
- [j5]Xinjun Peng, Lingyan Kong, Dongjing Chen:
A structural information-based twin-hypersphere support vector machine classifier. Int. J. Mach. Learn. Cybern. 8(1): 295-308 (2017) - 2016
- [j4]Xinjun Peng, Dong Xu, Lingyan Kong, Dongjing Chen:
L1-norm loss based twin support vector machine for data recognition. Inf. Sci. 340-341: 86-103 (2016) - 2015
- [j3]Xinjun Peng, Lingyan Kong, Dongjing Chen:
Improvements on twin parametric-margin support vector machine. Neurocomputing 151: 857-863 (2015) - [j2]Xinjun Peng, Dongjing Chen, Lingyan Kong, Dong Xu:
Interval twin support vector regression algorithm for interval input-output data. Int. J. Mach. Learn. Cybern. 6(5): 719-732 (2015) - 2014
- [j1]Xinjun Peng, Dongjing Chen, Lingyan Kong:
A clipping dual coordinate descent algorithm for solving support vector machines. Knowl. Based Syst. 71: 266-278 (2014)
Conference and Workshop Papers
- 2017
- [c2]Han Dong, Tao Li, Jiabing Leng, Lingyan Kong, Gang Bai:
GCN: GPU-Based Cube CNN Framework for Hyperspectral Image Classification. ICPP 2017: 41-49 - 2014
- [c1]Xinjun Peng, Lingyan Kong, Dongjing Chen, Dong Xu:
Online Model-Based Twin Parametric-Margin Support Vector Machine. ICIC (1) 2014: 741-752
Coauthor Index
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