Learning with mitigating random consistency from the accuracy measure
Jieting Wang, Yuhua Qian, Feijiang Li
Human beings may make random guesses in decision-making. Occasionally, their guesses may generate consistency with the real situation.This kind of consistency is termed random consistency. In the area of machine leaning, the randomness...
Machine Learning, 2020, 109: 2247–2281.
成红红, 钱宇华, 胡治国, 梁吉业
中国科学: 信息科学, 2020, 50(6): 824-844.
李飞江, 钱宇华, 王婕婷, 梁吉业, 王文剑
中国科学: 信息科学, 2020, 50(8): 1239-1254.
3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator
Tao Yan, Zhiguo Hu, Yuhua Qian, Zhiwei Qiao, Linyuan Zhang,
Multifocus image fusion techniques primarily emphasize human vision and machine perception to eval- uate an image, which often ignore depth information contained in the focus regions.
Pattern Recognition, 2020, 98, 107065.
Latent Complete Row Space Recovery for Multi-View Subspace Clustering
Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
Multi-view subspace clustering has been applied to applications such as image processing and video surveillance, and has attracted increasing attention.
IEEE Transactions on Image Processing, 2020, 29: 8083-8096
Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model
Kun Sun, Wenbing Tao, Yuhua Qian
As a fundamental yet challenging task in computer vision, finding correspondences between two sets of feature points has received extensive attention.
IEEE Transactions on Multimedia, 2020, 22(9): 2246-2261
View-specific subspace learning and re-ranking for semi-supervised person re-identification
Jieru Jia，Qiuqi Ruan，Yi Jin，Gaoyun An，Shiming Ge.
Person re-identification (re-ID) focuses on matching the same person across non-overlapping camera views.
Pattern Recognition, 2020, 108.
Fusing fuzzy monotonic decision trees
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding
Abstract—Ordinal classification is an important classification task, in which there exists a monotonic constraint between features and the decision class. In this article, we aim to develop a method of fusing ordinal decision trees with ...
IEEE Transactions on Fuzzy Systems, 2020, 28(5):887-900.