Machine Learning Algorithms for Geometry Processing by Example
This thesis proposes machine learning algorithms for processing geometry by example. Each algorithm takes as input a collection of shapes along with exemplar values of target properties related to shape processing tasks. The goal of the algorithms is to output a function that maps from the shape dat...
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| Language: | en_ca |
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2010
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| Online Access: | http://hdl.handle.net/1807/32044 |