Low dimension hierarchical subspace modelling of high dimensional data
Building models of high-dimensional data in a low dimensional space has become extremely popular in recent years. Motion tracking, facial animation, stock market tracking, digital libraries and many other different models have been built and tuned to specific application domains. However, when the u...
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Cardiff University
2009
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.584617 |