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- W2078387404 abstract "Semi-supervised learning is to exploit the vast amount of unlabeled data in the world. This paper proposes a scalable graph-based technique leveraging the distributed computing power of the MapReduce programming model. For a higher quality of learning, the paper also presents a multi-layer learning structure to unify both visual and textual information of image data during the learning process. Experimental results show the effectiveness of the proposed methods." @default.
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- W2078387404 date "2011-07-24" @default.
- W2078387404 modified "2023-10-17" @default.
- W2078387404 title "Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce" @default.
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- W2078387404 doi "https://doi.org/10.1145/2009916.2010079" @default.
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