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.001a.svgz" name="1090565.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Multilabel</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/1090565/figures/1090565.fig.001b.svgz" name="1090565.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Label distribution</td></tr></table>

<div>A natural scene image which has been annotated with water, sky, cloud, land, and trees.</div>

Mathematical Problems in Engineering

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Figure 1

Figure 1: Label Distribution Learning by Regularized Sample Self-Representation 