Multi-layer graph-based semi-supervised learning for large-scale image datasets using MapReduce
Journal
34th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages
1121-1122
ISBN
9781450309349
Date Issued
2011
Author(s)
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.
Subjects
Image retrieval; MapReduce; Semi-supervised learning
SDGs
Type
conference paper