中文说明：应用背景2012年由Kostinger提出的KISSME度量方法，从统计推断学的角度来考虑问题，最终表示成马氏度量学习的表达方式，从而得到马氏度量矩阵参数的估算方式，解决了当前很多度量学习方法在的大数据量下高时间复杂性的问题； 关键技术 马氏度量学习的表达方式，度量矩阵参数的估算方式，概率论，机器学习，人脸识别等技术
English Description：
Application backgroundThe KISSME metric method proposed by Kostinger in 2012, from the perspective of statistical inference to consider the problem, and ultimately expressed as a way to express the learning of Markov metric, and thus get the estimation of the parameters of the matrix;Key TechnologyThe expression method of the Markov measure, the estimation of the parameters of the metric matrix, the probability theory, machine learning, face recognition and other techniques