Unsupervised modeling of multiple data sources : a latent shared subspace approach

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Unsupervised modeling of multiple data sources : a latent shared subspace approach

The growing number of information sources has given rise to joint analysis. While the research community has mainly focused on analyzing data from a single source, there has been relatively few attempts on jointly analyzing multiple data sources exploiting their statistical sharing strengths. In gen...

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Bibliographic Details
Main Author:	Gupta, Sunil Kumar
Format:	Thesis
Language:	English
Published:	Curtin University 2011
Subjects:	latent shared subspace approach modeling of multiple data sources
Online Access:	http://hdl.handle.net/20.500.11937/2583

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