详细说明：NMFs算法（带稀疏度约束的非负稀疏矩阵分解）用于实现基于人脸局部特征的人脸识别，通过近似的矩阵分解进行空间降维。

文件列表:
  nmfpack
  .......\code
  .......\....\cbcldata.m
  .......\....\lnmf.m
  .......\....\main.m
  .......\....\natdata.m
  .......\....\nmfdiv.m
  .......\....\nmfmse.m
  .......\....\nmfsc.m
  .......\....\orldata.m
  .......\....\pgma_read.m
  .......\....\projfunc.m
  .......\....\projtest.m
  .......\....\sampleimages.m
  .......\....\snmf.m
  .......\....\visual.m
  .......\data
  .......\....\cbcl-face-database
  .......\....\IMAGES.mat
  .......\....\orl-faces
  .......\....\.........\README
  .......\....\.........\s1
  .......\....\.........\..\1.pgm
  .......\....\.........\..\10.pgm
  .......\....\.........\..\2.pgm
  .......\....\.........\..\3.pgm
  .......\....\.........\..\4.pgm
  .......\....\.........\..\5.pgm
  .......\....\.........\..\6.pgm
  .......\....\.........\..\7.pgm
  .......\....\.........\..\8.pgm
  .......\....\.........\..\9.pgm
  .......\....\.........\s10
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  .......\....\.........\...\2.pgm
  .......\....\.........\...\3.pgm
  .......\....\.........\...\4.pgm
  .......\....\.........\...\5.pgm
  .......\....\.........\...\6.pgm
  .......\....\.........\...\7.pgm
  .......\....\.........\...\8.pgm
  .......\....\.........\...\9.pgm
  .......\....\.........\...\jpg
 
  .......\....\.........\s11
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  .......\....\.........\...\2.pgm
  .......\....\.........\...\3.pgm
  .......\....\.........\...\4.pgm
  .......\....\.........\...\5.pgm
  .......\....\.........\...\6.pgm
  .......\....\.........\...\7.pgm
  .......\....\.........\...\8.pgm
  .......\....\.........\...\9.pgm
  .......\....\.........\s12
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  .......\....\.........\...\2.pgm
  .......\....\.........\...\3.pgm
  .......\....\.........\...\4.pgm
  .......\....\.........\...\5.pgm
  .......\....\.........\...\6.pgm
  .......\....\.........\...\7.pgm
  .......\....\.........\...\8.pgm
  .......\....\.........\...\9.pgm
  .......\....\.........\s13
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  .......\....\.........\...\2.pgm
  .......\....\.........\...\3.pgm
  .......\....\.........\...\4.pgm
  .......\....\.........\...\5.pgm
  .......\....\.........\...\6.pgm
  .......\....\.........\...\7.pgm
  .......\....\.........\...\8.pgm
  .......\....\.........\...\9.pgm
  .......\....\.........\s14
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  .......\....\.........\...\2.pgm
  .......\....\.........\...\3.pgm
  .......\....\.........\...\4.pgm
  .......\....\.........\...\5.pgm
  .......\....\.........\...\6.pgm
  .......\....\.........\...\7.pgm
  .......\....\.........\...\8.pgm
  .......\....\.........\...\9.pgm
  .......\....\.........\s15
  .......\....\.........\...\1.pgm
  .......\....\.........\...\10.pgm
  ... ...