Incremental Nonnegative Matrix Factorization for Face Recognition

<table class="table-group" id="tab10"><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(s)</td><td align="center">BNMF(s)</td><td align="center">INMF(s)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="center">67</td><td align="center">72.45</td><td align="center">55.19</td><td align="center">34.28</td></tr><tr><td align="center">68</td><td align="center">79.58</td><td align="center">1.36</td><td align="center">0.70</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Running time
(s) on class incremental learning.

Mathematical Problems in Engineering

tab10

Table 10

Table 10: Incremental Nonnegative Matrix Factorization for Face Recognition 