SHREC'10 Track: Protein Model Classification

Mavridis, L.; Venkatraman, V.; Ritchie, D. W.; Morikawa, N.; Andonov, R.; Cornu, A.; Malod-Dognin, N.; Nicolas, J.; Temerinac-Ott, M.; Reisert, M.; Burkhardt, H.; Axenopoulos, A.; Daras, P.

SHREC'10 Track: Protein Model Classification

Files

117-124.pdf (3.7 MB)

Date

2010

Authors

Mavridis, L.
Venkatraman, V.
Ritchie, D. W.
Morikawa, N.
Andonov, R.
Cornu, A.
Malod-Dognin, N.
Nicolas, J.
Temerinac-Ott, M.
Reisert, M.
Burkhardt, H.
Axenopoulos, A.
Daras, P.

Publisher

The Eurographics Association

Abstract

This paper presents the results of the 3D Shape Retrieval Contest 2010 (SHREC'10) track Protein Models Classification. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein structures according to the CATH [CSL?08] 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.

        @inproceedings{:10.2312/3DOR/3DOR10/117-124
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Mohamed Daoudi and Tobias Schreck
},
title = {{SHREC'10 Track: Protein Model Classification
}},
author = {Mavridis, L. and 
Venkatraman, V. and 
Burkhardt, H. and 
Axenopoulos, A. and 
Daras, P. and 
Ritchie, D. W. and 
Morikawa, N. and 
Andonov, R. and 
Cornu, A. and 
Malod-Dognin, N. and 
Nicolas, J. and 
Temerinac-Ott, M. and 
Reisert, M.
},
year = {2010
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-905674-22-4
},
DOI = {/10.2312/3DOR/3DOR10/117-124
}
}