RSS for A variational multi-view learning framework and its application to image segmentationhttp://academic.research.microsoft.com/Rss.aspx?cata=9&id=13297889Search RSS feed for Microsoft Academic SearchMSRA Libra RSS Burner(c)2008 Microsoft Corpration, All right reserved.Tue, 18 Jun 2013 22:32:50 GMTTue, 18 Jun 2013 22:32:50 GMTA variational multi-view learning framework and its application to image segmentationhttp://academic.research.microsoft.com/Publication/13297889Tue, 18 Jun 2013 15:32:50 GMT132978890Zhenglong Li, Qingshan Liu, Hanqing Lu: view publication
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the graph comprises of factor graphs, which are used to describe internal states of views. Each view is modeled with a Gaussian mixture model. The proposed framework has three main advantages (1) less constraint assumed on data, (2) effective utilization of unlabeled data, and (3) automatic data structure inferring: proper data structure can be inferred in only one round. The experiments on image segmentation demonstrate its effectiveness.
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