Incremental Nonnegative Matrix Factorization for Face Recognition

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="center">Number of class</td><td align="center">NMF</td><td align="center">BNMF</td><td align="center">INMF</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="center">67</td><td align="center">66.35%</td><td align="center">68.73%</td><td align="center">69.02%</td></tr><tr><td align="center">68</td><td align="center">66.21%</td><td align="center">68.46%</td><td align="center">68.89%</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparisons on
class incremental learning.

Mathematical Problems in Engineering

tab9

Table 9

Table 9: Incremental Nonnegative Matrix Factorization for Face Recognition 