%0 Journal Article %A GAO Ying %A CHENG Tao-yuan %T Study of object recognition model based on context similarity %D 2008 %R 10.3778/j.issn.1002-8331.2008.23.043 %J Computer Engineering and Applications %P 139-142 %V 44 %N 23 %X Object recognition is an important problem in data integration with uncertain.To integrate academic objects,the authors propose an object recognition model basd on the context.The authors use an appearance’s context information,including co-author,international conference,publication time,paper title,to recognize it.The authors measure the similarity of four dimensions information in an appearance context and use sensors to learn the parameters by a few of examples labeled by field experts.According to the model,the authors can recognize academic objects accurately. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2008.23.043