Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely limited.The reason maybe that the single label of the da...Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely limited.The reason maybe that the single label of the data cannot effectively describe complex emotional intentions which are vital in FER.Label distribution learning contains more information and is a possible way to solve this problem.To apply label distribution learning on FER,a label distribution expression recognition algorithm based on asymptotic truth value is proposed.Under the premise of not incorporating extraneous quantitative information,the original information of database is fully used to complete the generation and utilization of label distribution.Firstly,in training part,single label learning is used to collect the mean value of the overall distribution of data.Then,the true value of data label is approached gradually on the granularity of data batch.Finally,the whole network model is retrained using the generated label distribution data.Experimental results show that this method can improve the accuracy of the network model obviously,and has certain competitiveness compared with the advanced algorithms.展开更多
English ambiguity expressions have been a heat topic in language research for a long time with a variety of theories and methods.Among them,the cognitive approach,just like the Figure-Ground theory,relevance theory an...English ambiguity expressions have been a heat topic in language research for a long time with a variety of theories and methods.Among them,the cognitive approach,just like the Figure-Ground theory,relevance theory and cognitive context theory,is a relatively new and vigorous perspective.However,as to studying ambiguity from the perspective of attention,very few researches have been done in this regard.By analyzing different types of English ambiguity expressions,it is necessary to explore how ambiguity expressions are formed and eliminated from the attentional view,and to provide some new insights into ambiguity study.展开更多
基金National Youth Natural Science Foundation of China(No.61806006)Innovation Program for Graduate of Jiangsu Province(No.KYLX160-781)Project Supported by Jiangsu University Superior Discipline Construction Project。
文摘Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely limited.The reason maybe that the single label of the data cannot effectively describe complex emotional intentions which are vital in FER.Label distribution learning contains more information and is a possible way to solve this problem.To apply label distribution learning on FER,a label distribution expression recognition algorithm based on asymptotic truth value is proposed.Under the premise of not incorporating extraneous quantitative information,the original information of database is fully used to complete the generation and utilization of label distribution.Firstly,in training part,single label learning is used to collect the mean value of the overall distribution of data.Then,the true value of data label is approached gradually on the granularity of data batch.Finally,the whole network model is retrained using the generated label distribution data.Experimental results show that this method can improve the accuracy of the network model obviously,and has certain competitiveness compared with the advanced algorithms.
文摘English ambiguity expressions have been a heat topic in language research for a long time with a variety of theories and methods.Among them,the cognitive approach,just like the Figure-Ground theory,relevance theory and cognitive context theory,is a relatively new and vigorous perspective.However,as to studying ambiguity from the perspective of attention,very few researches have been done in this regard.By analyzing different types of English ambiguity expressions,it is necessary to explore how ambiguity expressions are formed and eliminated from the attentional view,and to provide some new insights into ambiguity study.
