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Graph-based semi-supervised learning 被引量:2
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作者 Changshui ZHANG Fei WANG 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2011年第1期17-26,共10页
The recent years have witnessed a surge of interests in graph-based semi-supervised learning(GBSSL).In this paper,we will introduce a series of works done by our group on this topic including:1)a method called linear ... The recent years have witnessed a surge of interests in graph-based semi-supervised learning(GBSSL).In this paper,we will introduce a series of works done by our group on this topic including:1)a method called linear neighborhood propagation(LNP)which can automatically construct the optimal graph;2)a novel multilevel scheme to make our algorithm scalable for large data sets;3)a generalized point charge scheme for GBSSL;4)a multilabel GBSSL method by solving a Sylvester equation;5)an information fusion framework for GBSSL;and 6)an application of GBSSL on fMRI image segmentation. 展开更多
关键词 graph-based semi-supervised learning(GBSSL) linear neighborhood propagation(LNP) point charge model fMRI image segmentation
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