Capped l2, 1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning

Jiao Liu
Jiao Liu

ICDM Workshops, pp. 653-657, 2019.

Cited by: 0|Views14
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Abstract:

During the past decade, graph-based semi-supervised learning has become one of the most important research areas in machine learning and artificial intelligence community. In this paper, we propose a Capped l_2, 1-Norm Regularized Dictionary Learning to construct the graph for semi-supervised learning (SSL). The new sparse coding is robus...More

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