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SHREC'10 Track: Protein Models

Abstract : This paper presents the results of the SHREC'10 Protein Models Classification Track. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein structures according to the CATH [CSL08] superfamily classification. Five groups participated in this track, using a total of six methods, and for each method a set of ranked predictions was submitted for each classification task. The evaluation of each method is based on the nearest neighbour and area under the curve(AUC) metrics.
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Contributor : Rumen Andonov <>
Submitted on : Tuesday, November 16, 2010 - 5:12:53 PM
Last modification on : Thursday, December 12, 2019 - 11:14:20 AM


  • HAL Id : inria-00536680, version 1


Lazaros Mavridis, Vishwesh Venkatraman, David Ritchie, H. Morikawa, Rumen Andonov, et al.. SHREC'10 Track: Protein Models. Eurographics Workshop on 3D Object Retrieval - 3DOR 2010, May 2010, Norrköping, Sweden. ⟨inria-00536680⟩



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