Local-shapelets for fast classification of spectrographic measurements
作者：
Highlights：
• We present an algorithm for classifying spectrographic measurements.
• The concept of locality is introduced into an established time series algorithm.
• A technique for estimating a tolerance parameter is presented.
• Learning and classification times are reduced by two orders of magnitude.
• Accuracy levels are retained.
摘要
•We present an algorithm for classifying spectrographic measurements.•The concept of locality is introduced into an established time series algorithm.•A technique for estimating a tolerance parameter is presented.•Learning and classification times are reduced by two orders of magnitude.•Accuracy levels are retained.
论文关键词：Spectrography,Time series,Classification,Shapelets,Local
论文评审过程：Available online 10 December 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.043
