Jun Gao

Local preserving projections andwithin-class scatter based semi-supervised support vector machines

Jun Gao, Lili Xiang, 2010, 2010 3rd International Conference on Computer Science and Information Technology.

A novel projection twin support vector machine for pattern recognition

Jun Gao, Xiaopeng Hua, Sen Xu, 2017, 2017 International Smart Cities Conference (ISC2).

A novel cluster ensemble approach effected by subspace similarity

Xianfeng Li, Jun Gao, Tian Zhou, 2016, Intell. Data Anal..

Matrix pattern based minimum within-class scatter support vector machines

Korris Fu-Lai Chung, Shitong Wang, Jun Gao, 2011, Appl. Soft Comput..

L1-norm loss-based projection twin support vector machine for binary classification

Jun Gao, Shifei Ding, Xiaopeng Hua, 2019, Soft Computing.

L1-norm loss-based projection twin support vector machine for binary classification

Jun Gao, Xiaopeng Hua, Sen Xu, 2019, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

An integrated K-means - Laplacian cluster ensemble approach for document datasets

Xianfeng Li, Jun Gao, Kung-Sik Chan, 2016, Neurocomputing.