Globality-Locality Preserving Maximum Variance Extreme Learning Machine

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001a.svgz" name="1806314.fig.001a" type="image/svg+xml"></object><div class="fig-label">(a) ORL</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001b.svgz" name="1806314.fig.001b" type="image/svg+xml"></object><div class="fig-label">(b) Yale</div></div><div class="sub-figure" id="c"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001c.svgz" name="1806314.fig.001c" type="image/svg+xml"></object><div class="fig-label">(c) Yale B</div></div><div class="sub-figure" id="d"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001d.svgz" name="1806314.fig.001d" type="image/svg+xml"></object><div class="fig-label">(d) COIL20</div></div><div class="sub-figure" id="e"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001e.svgz" name="1806314.fig.001e" type="image/svg+xml"></object><div class="fig-label">(e) MNIST</div></div><div class="sub-figure" id="f"><object data="https://static.hindawi.com/articles/complexity/volume-2019/1806314/figures/1806314.fig.001f.svgz" name="1806314.fig.001f" type="image/svg+xml"></object><div class="fig-label">(f) USPS</div></div></figure>

<p>Different image datasets: (a) ORL, (b) Yale, (c) Yale B, (d) COIL20, (e) MNIST, and (f) USPS.</p>

Complexity

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Figure 1

Figure 1: Globality-Locality Preserving Maximum Variance Extreme Learning Machine 