An efficient approach for Interactive Sequential Pattern Recognition

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• 作者：Jorge Calvo-Zaragoza ; ^{jcalvo@dlsi.ua.es}Author Vitae ; Jose Oncina ^{oncina@dlsi.ua.es}Author Vitae
• 关键词：Interactive Pattern Recognition ; Sequential Pattern Recognition ; Human-computer interaction ; Word graphs ; Efficient search
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：295-304
• 全文大小：1020 K
• 卷排序：64

文摘

Searching the optimal decoding for Interactive Sequential Pattern Recognition tasks may be computationally expensive. A normalization procedure is proposed so that computing optimal hypotheses becomes more efficient. A specially profitable case is reported when dealing with Regular Languages. Experimental results show a significant save of computational time.