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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| Format: | Thesis |
| Language: | English |
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Curtin University
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/2583 |