公开(公告)号：US20150363709A1

公开(公告)日：2015-12-17

申请号：US14763702

申请日：2013-08-26

Applicant: NEC CORPORATION

Inventor： Toshio KAMEI ,  Masato ISHII

IPC: G06N99/00 ,  G06F7/72

CPC classification number: G06N20/00 ,  G06F7/72 ,  G06K9/6269 ,  G06K9/6276

Abstract: A classifier learning apparatus (100) includes: an object acquisition unit (101) that acquires a set of reference vectors and assigned category information of the respective reference vectors as a processing object; a specifying unit (102) that specifies an internal nearest neighbor reference vector nearest to a sample vector among the reference vectors assigned to the same category as the sample vector and specifies an external nearest neighbor reference vector nearest to the sample vector among the reference vectors assigned to a category different from that of the sample vector; a calculation unit (103) that calculates an evaluation value of the processing object using a distance between the sample vector and a classification boundary formed by the internal nearest neighbor reference vector and the external nearest neighbor reference vector; and an updating unit (104) that updates an original set of reference vectors and original assigned category information with the processing object based on the evaluation value.

Abstract translation: 分类器学习装置（100）包括：对象获取单元（101），其获取一组参考矢量，并将各个参考矢量的分配类别信息作为处理对象; 指定单元（102），其指定与分配给与样本矢量相同类别的参考向量中最接近样本矢量的内部最近邻参考矢量，并指定分配给参考矢量中最接近样本矢量的外部最近邻参考矢量 到与样本载体不同的类别; 计算单元，其使用所述采样矢量与由所述内部最近邻参考矢量和所述外部最近邻参考矢量形成的分类边界之间的距离来计算所述处理对象的评价值; 以及更新单元（104），其基于所述评估值，利用所述处理对象来更新原始参考矢量集合和原始分配的类别信息。