Label Distribution Learning by Regularized Sample Self-Representation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/1090565/figures/1090565.fig.003a.svgz" name="1090565.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Movie</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/1090565/figures/1090565.fig.003b.svgz" name="1090565.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>SBU-3DFE</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/1090565/figures/1090565.fig.003c.svgz" name="1090565.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Yeast-alpha</td></tr></table>

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Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: Label Distribution Learning by Regularized Sample Self-Representation 