Non-negative matrix factorization (NMF) is an effective method for parts-based feature extraction, and it can deal with partial occlusion and some illumination problems.

• 摘要非负矩阵分解(NMF)是基于部分的特征提取方法，能够克服局部遮档和光照问题，在图像识别任务中效果较好。