%0 Journal Article
%T Multi-modal Tensor Data Mining Algorithms and Applications<br>多模态张量数据挖掘算法及应用
%A YANG Wan-qi
%A GAO Yang
%A ZHOU Xin-min
%A YANG Yu-bin
%A SHANG Lin
%A <br>杨碗琪
%A 高阳
%A 周新民
%A 杨育彬
%A 商琳
%J 计算机科学
%D 2012
%I 
%X Multi-modal data mining technologies have attracted many research interests in recent years. Mining large amount of multi-modal data efficiently becomes a hot spot problem. Among these multi-modal mining technologies, multimodal data mining for tensor representation,which is also called as multi-modal tensor data mining,is one of the most significant research issues. We reviewed the statcof-thcart algorithms of the multi modal tensor data mining and their applications in computer vision. Firstly,multi-modal tensor data mining algorithms were categorized into different classes according to the different label information, task and core technology. In addition, some analyses about these algorithms were given. Secondly, some typical multi-modal tensor mining algorithms in computer vision application were i1lustrated. Finally, we presented our own analyses on research status of multi-modal tensor mining algorithms, and explored some potential future issues of multi-modal tensor mining in computer vision application.
%K Multi-modal tensor
%K Data mining
%K I}cnsor rcprcscntation
%K Computer vision<br>多模态张量
%K 数据挖掘
%K 张量表示
%K 计算机视觉
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=19A0C59815F2A7E443367A15E1DF8CE1&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=CA4FD0336C81A37A&sid=9CF7A0430CBB2DFD&eid=FC0714F8D2EB605D&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=39