Multiple kernel-based dictionary learning for weakly supervised classification

作者：

Highlights：

• A multiple instance dictionary learning framework to handle weakly supervised data.

• MKL for well representation and separation of negative and positive bags.

• We demonstrate the effectiveness our approach on image classification datasets.

摘要

Highlights•A multiple instance dictionary learning framework to handle weakly supervised data.•MKL for well representation and separation of negative and positive bags.•We demonstrate the effectiveness our approach on image classification datasets.

论文关键词：Dictionary learning,Multiple instance learning,Multiple kernel learning

论文评审过程：Received 1 October 2013, Revised 26 January 2015, Accepted 6 March 2015, Available online 14 March 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.03.005