Multi-layer graph-based semi-supervised learning for large-scale image datasets using MapReduce

Lee W.-Y.Hsieh L.-C.Wu G.-L.Hsu W.WINSTON HSU2019-07-102019-07-1020119781450309349https://scholars.lib.ntu.edu.tw/handle/123456789/412964Semi-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.Image retrieval; MapReduce; Semi-supervised learning[SDGs]SDG4Multi-layer graph-based semi-supervised learning for large-scale image datasets using MapReduceconference paper10.1145/2009916.20100792-s2.0-80052131267