Lingyan Kong - researchr alias

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Viewing Publication 1 - 8 from 8

2019

DCNR: deep cube CNN with random forest for hyperspectral image classificationTao Li, Jiabing Leng, Lingyan Kong, Song Guo, Gang Bai, Kai Wang. mta, 78(3):3411-3433, 2019. [doi]

2017

GCN: GPU-Based Cube CNN Framework for Hyperspectral Image ClassificationHan Dong, Tao Li, Jiabing Leng, Lingyan Kong, Gang Bai. icpp 2017: 41-49 [doi]

A structural information-based twin-hypersphere support vector machine classifierXinjun Peng, Lingyan Kong, Dongjing Chen. mlc, 8(1):295-308, 2017. [doi]

2016

1-norm loss based twin support vector machine for data recognitionXinjun Peng, Dong Xu, Lingyan Kong, Dongjing Chen. isci, 340-341:86-103, 2016. [doi]

2015

Improvements on twin parametric-margin support vector machineXinjun Peng, Lingyan Kong, Dongjing Chen. ijon, 151:857-863, 2015. [doi]

Interval twin support vector regression algorithm for interval input-output dataXinjun Peng, Dongjing Chen, Lingyan Kong, Dong Xu. mlc, 6(5):719-732, 2015. [doi]

2014

A clipping dual coordinate descent algorithm for solving support vector machinesXinjun Peng, Dongjing Chen, Lingyan Kong. kbs, 71:266-278, 2014. [doi]

Online Model-Based Twin Parametric-Margin Support Vector MachineXinjun Peng, Lingyan Kong, Dongjing Chen, Dong Xu. icic 2014: 741-752 [doi]

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