Online Coregularization for Multiview Semisupervised Learning

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="398146.fig.008a" src="https://static.hindawi.com/articles/tswj/volume-2013/398146/figures/398146.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Two rotating moons view </td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="398146.fig.008b" src="https://static.hindawi.com/articles/tswj/volume-2013/398146/figures/398146.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Two rotating lines view</td></tr></table></td></tr></table>

<table>Rotating two-moons-two-lines data sequence. We spin the two-moons-two-lines data set in top left of the two views during the sequence so that two moons and two lines smoothly rotate <svg height="13.1375" id="M272" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 29.637501 13.1375" width="29.637501" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> in every 8000 examples.</table>

The Scientific World Journal

Online Coregularization for Multiview Semisupervised Learning

Figure 8