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SHREC'08 entry: Training set expansion via autotags

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SHREC'08 entry: Training set expansion via autotags
Training a 3D model classifier on a small dataset is very challenging. However, large datasets of partially classified models are now commonly available online. We use an external training set of models with associated text tags to automatically assign tags to both training and query models. The similarity between these tags, used in conjunction with a standard shape descriptor, yields a multiclassifier that outperforms the standalone shape descriptor.
Corey Goldfeder, Haoyun Feng, Peter K. Allen
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SMI
Authors Corey Goldfeder, Haoyun Feng, Peter K. Allen
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