Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks

作者:

Highlights:

• A novel semisupervised multiview multitask feature selection algorithm is proposed.

• An efficient iterative algorithm is developed to optimise the objective function.

• Extensive experiments are conducted to verify the performance of our proposed method.

摘要

•A novel semisupervised multiview multitask feature selection algorithm is proposed.•An efficient iterative algorithm is developed to optimise the objective function.•Extensive experiments are conducted to verify the performance of our proposed method.

论文关键词:Feature selection,Semisupervised learning,Multiview learning,Multitask learning,Handwritten digits recognition,Video concept analysis,3D motion data analysis

论文评审过程:Received 1 June 2018, Revised 13 September 2018, Accepted 14 September 2018, Available online 18 September 2018, Version of Record 27 September 2018.

论文官网地址:https://doi.org/10.1016/j.image.2018.09.008