Support image set machine: Jointly learning representation and classifier for image set classification
作者：
Highlights：
• We propose a joint method for image set representation and classification.
• Learning parameters of representation and classifier are unified in one objective.
• Learning of image set representation and classifier are regularized by each other.
• Our method reduces the time complexity of classifying set image set significantly.
摘要
•We propose a joint method for image set representation and classification.•Learning parameters of representation and classifier are unified in one objective.•Learning of image set representation and classifier are regularized by each other.•Our method reduces the time complexity of classifying set image set significantly.
论文关键词：Image set classification,Support vector machine,Joint image set representation,Fast iterative shrinkage-thresholding,Supervised learning
论文评审过程：Received 21 October 2014, Revised 19 January 2015, Accepted 29 January 2015, Available online 12 February 2015.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.01.016
