Cross-domain action recognition via collective matrix factorization with graph Laplacian regularization

作者：

Highlights：

• We apply collective matrix factorization to cross-domain action recognition.

• We build a novel graph Laplacian regularization term.

• The framework jointly learns semantic representations and a linear classifier.

摘要

•We apply collective matrix factorization to cross-domain action recognition.•We build a novel graph Laplacian regularization term.•The framework jointly learns semantic representations and a linear classifier.

论文关键词：Action recognition,Collective matrix factorization,Graph Laplacian regularization,Latent semantic representation

论文评审过程：Received 13 September 2015, Revised 11 January 2016, Accepted 18 February 2016, Available online 28 February 2016, Version of Record 10 November 2016.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.02.003