Group-of-features relevance in multinomial kernel logistic regression and application to human interaction recognition

作者：

Highlights：

• Human interaction recognition (HIR).

• Sparse models for classification.

• Group-of-features relevance in multinomial kernel logistic regression (GFR-MKLR).

• Interaction description through joint geometric and spectral features.

摘要

•Human interaction recognition (HIR).•Sparse models for classification.•Group-of-features relevance in multinomial kernel logistic regression (GFR-MKLR).•Interaction description through joint geometric and spectral features.

论文关键词：Human interaction recognition (HIR),Group-of-features relevance,Multinomial kernel logistic regression (MKLR)

论文评审过程：Received 29 May 2019, Revised 10 November 2019, Accepted 23 January 2020, Available online 24 January 2020, Version of Record 31 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113247