非负矩阵分解具有非负性和局部性的特点，是一种新型的特征提取方法。

Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.

youdao

非负矩阵分解过程中，适当地选取特征空间的维数能够获得原始数据的局部特征。

The local feature based representation could be obtained by choosing suitable dimension of the feature subspace in NMF.

youdao

摘要：非负矩阵分解方法是基于局部特征的特征提取方法，已经成功用于人脸识别。

Absrtact: Non - negative matrix factorization (NMF) is a method of parts - based feature extraction, it has been already applied to face recognition successfully.

youdao

摘要：非负矩阵分解方法是基于局部特征的特征提取方法，已经成功用于人脸识别。

Absrtact: Non - negative matrix factorization (NMF) is a method of parts - based feature extraction, it has been already applied to face recognition successfully.

youdao