5 papers
Low-rank features based double transformation matrices learning for image classification
Yu-Hong Cai, Xiao-Jun Wu, Zhe Chen
Linear regression is a supervised method that has been widely used in classification tasks. In order to apply linear regression to classification tasks, a technique for relaxing re…
Transition Subspace Learning based Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Only learning one projection matrix from original samples to the corresponding binary labels is too strict and will consequentlly lose some intrinsic geometric structures of data.…
Non-negative representation based discriminative dictionary learning for face recognition
Zhe Chen, Xiao-Jun Wu, Josef Kittler
In this paper, we propose a non-negative representation based discriminative dictionary learning algorithm (NRDL) for multicategory face classification. In contrast to traditional…
Fisher Discriminative Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Discriminative least squares regression (DLSR) has been shown to achieve promising performance in multi-class image classification tasks. Its key idea is to force the regression la…
Low-Rank Discriminative Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
Latest least squares regression (LSR) methods mainly try to learn slack regression targets to replace strict zero-one labels. However, the difference of intra-class targets can als…