zhiquan qi, 齐志泉
zhiquan qi, 齐志泉
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Title
Cited by
Cited by
Year
Robust twin support vector machine for pattern classification
Z Qi, Y Tian, Y Shi
Pattern Recognition 46 (1), 305-316, 2013
2802013
Automatic Road Crack Detection Using Random Structured Forests
zhiquan qi
273*
Nonparallel support vector machines for pattern classification
Y Tian, Z Qi, X Ju, Y Shi, X Liu
IEEE transactions on cybernetics 44 (7), 1067-1079, 2013
1862013
Laplacian twin support vector machine for semi-supervised classification
Z Qi, Y Tian, Y Shi
Neural networks 35, 46-53, 2012
1652012
Structural twin support vector machine for classification
Z Qi, Y Tian, Y Shi
Knowledge-Based Systems 43, 74-81, 2013
1282013
Twin support vector machine with universum data
Z Qi, Y Tian, Y Shi
Neural Networks 36, 112-119, 2012
912012
Online multiple instance boosting for object detection
Z Qi, Y Xu, L Wang, Y Song
Neurocomputing 74 (10), 1769-1775, 2011
702011
Improved twin support vector machine
Y Tian, X Ju, Z Qi, Y Shi
Science China Mathematics 57 (2), 417-432, 2014
542014
支持向量机中的核参数选择问题
齐志泉, 徐志洁
第十六届中国过程控制学术年会暨第四届全国故障诊断与安全性学术会议, 379-381, 2007
51*2007
When ensemble learning meets deep learning: a new deep support vector machine for classification
Z Qi, B Wang, Y Tian, P Zhang
Knowledge-Based Systems 107, 54-60, 2016
412016
Successive Overrelaxation for Laplacian Support Vector Machine
Z Qi, Y Tian, Y Shi
TNNLS, 0
35*
Support vector machine classifier with truncated pinball loss
X Shen, L Niu, Z Qi, Y Tian
Pattern Recognition 68, 199-210, 2017
332017
Image segmentation via improving clustering algorithms with density and distance
Z Chen, Z Qi, F Meng, L Cui, Y Shi
Procedia Computer Science 55, 1015-1022, 2015
312015
Efficient railway tracks detection and turnouts recognition method using HOG features
Z Qi, Y Tian, Y Shi
Neural Computing and Applications 23 (1), 245-254, 2013
312013
Efficient sparse nonparallel support vector machines for classification
Y Tian, X Ju, Z Qi
Neural Computing and Applications 24 (5), 1089-1099, 2014
282014
Support vector regression for newspaper/magazine sales forecasting
X Yu, Z Qi, Y Zhao
Procedia Computer Science 17, 1055-1062, 2013
282013
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature
Y Shi, Z Chen, Z Qi, F Meng, L Cui
Neural Computing and Applications 28 (1), 29-39, 2017
262017
Cost-sensitive support vector machine for semi-supervised learning
Z Qi, Y Tian, Y Shi, X Yu
Procedia Computer Science 18, 1684-1689, 2013
212013
Pavement distress detection using random decision forests
L Cui, Z Qi, Z Chen, F Meng, Y Shi
International Conference on Data Science, 95-102, 2015
202015
Adaboost-LLP: a boosting method for learning with label proportions
Z Qi, F Meng, Y Tian, L Niu, Y Shi, P Zhang
IEEE transactions on neural networks and learning systems 29 (8), 3548-3559, 2017
192017
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