Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation

作者：

Highlights：

• Semi-supervised kernel matrix learning for data classification.

• Adaptive constraint-based seed propagation.

• Effective constraint propagation by adaptive constraint.

• Low computational complexity by seed propagation.

摘要

•Semi-supervised kernel matrix learning for data classification.•Adaptive constraint-based seed propagation.•Effective constraint propagation by adaptive constraint.•Low computational complexity by seed propagation.

论文关键词：Adaptive constraints,Constraint propagation,Kernel learning,Seed propagation,Semi-supervised kernel matrix learning

论文评审过程：Received 19 July 2016, Revised 8 October 2020, Accepted 1 November 2020, Available online 5 December 2020, Version of Record 14 January 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107750