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

Authors:
Wen-Yu Lee;Liang-Chi Hsieh;Guan-Long Wu;Winston Hsu;Ya-Fan Su
Affiliations:
National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;Chunghwa Telecom Co., Ltd., Taipei, Taiwan Roc
Venue:
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Year:
2011

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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.