Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points

4 Dec 2019Zitong WangLi WangRaymond ChanTieyong Zeng

We focus on developing a novel scalable graph-based semi-supervised learning (SSL) method for a small number of labeled data and a large amount of unlabeled data. Due to the lack of labeled data and the availability of large-scale unlabeled data, existing SSL methods usually encounter either suboptimal performance because of an improper graph or the high computational complexity of the large-scale optimization problem... (read more)

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