Hierarchical classification of images by sparse approximation
作者：
Highlights：
• A new hierarchical classification scheme by sparse approximation is proposed.
• Leverage large scale structured data for the accurate hierarchical classification.
• Distance function taking into account the hierarchical structure is introduced.
• Defined two images to be similar if they shared a similar path in the hierarchy
• Achieved better performances than flat 1-vs-N classification methods
摘要
•A new hierarchical classification scheme by sparse approximation is proposed.•Leverage large scale structured data for the accurate hierarchical classification.•Distance function taking into account the hierarchical structure is introduced.•Defined two images to be similar if they shared a similar path in the hierarchy•Achieved better performances than flat 1-vs-N classification methods
论文关键词：Sparse approximation,Sparse sensing,Sparsity,Image classification,Hierarchy,Structured data classification
论文评审过程：Received 24 October 2012, Revised 8 July 2013, Accepted 10 October 2013, Available online 21 October 2013.
论文官网地址：https://doi.org/10.1016/j.imavis.2013.10.005
