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Semi-Supervised Learning with Graphs 评分:

文献是基于图方法的半监督学习的经典之作,较为系统全面地介绍了相关知识与方法。

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Label Efficient Semi-Supervised Learning via Graph Filtering.pdf

Graph-based methods have been demonstrated as one of the most effective approaches for semi-supervised learning,astheycanexploittheconnectivitypatternsbetweenlabeled and unlabeled data samples to improve learning performance. However, existing graph-based methods either are limited in their ability

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Insufficiency of labeled training data is a major obstacle for automatically annotating large-scale video databases with semantic concepts. Existing semi-supervised learning algorithms based on parametric models try to tackle this issue by incorporating the information in a large amount of unlabeled

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