Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes
作者：
Highlights：
• We propose a method of using dissimilarity space embedding for temporal patterns.
• Ensemble classification was used for prototype selection to increase the efficiency.
• We evaluate the performance of our method on online handwritten digits.
• The experiments showed a high accuracy with a very small number of patterns.
摘要
Highlights•We propose a method of using dissimilarity space embedding for temporal patterns.•Ensemble classification was used for prototype selection to increase the efficiency.•We evaluate the performance of our method on online handwritten digits.•The experiments showed a high accuracy with a very small number of patterns.
论文关键词：Temporal patterns,Online digit classification,Dissimilarity representation,Ensemble classification,Dissimilarity space embedding
论文评审过程：Received 9 January 2016, Revised 17 September 2016, Accepted 16 November 2016, Available online 21 November 2016, Version of Record 29 November 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.11.013
