|Title:||Multi-layer graph-based semi-supervised learning for large-scale image datasets using MapReduce||Authors:||Lee W.-Y.
|Keywords:||Image retrieval; MapReduce; Semi-supervised learning||Issue Date:||2011||Start page/Pages:||1121-1122||Source:||34th International ACM SIGIR Conference on Research and Development in Information Retrieval||Abstract:||
Semi-supervised learning is to exploit the vast a unlabeled data in the world. This paper proposes graph-based technique leveraging the distributed ing power of the MapReduce programming mod higher quality of learning, the paper also present layer learning structure to unify both visual and t formation of image data during the learning pro perimental results show the effectiveness of the methods.
|Appears in Collections:||資訊工程學系|
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