Machine learning algorithms for geometry processing by example
Machine learning algorithms for geometry processing by example, 2010.
shape attributeshape interpretationnovel input shape dataline illustrationtarget propertyMore(6+)
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 data to the target properties. The learned ...More
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