If the ultimate effect of the semi-supervised method is the same or close to the result of supervised learning method, the semi-supervised learning is more advantages in labor costs and achievement.

若其最终的学习效果与全监督学习方法的效果一致或接近，则在人工成本和实现上，半监督学习方法更具有优越性。

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Experimental result demonstrates that compared with previously proposed semi-supervised clustering algorithm this method produces better clusters.

实验表明，该算法较之于已提出的半监督聚类算法，获得了更好的聚类性能。

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In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.

本文讨论了利用半监督学习方法进行视频语义标注的问题。

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