Fast Optimum-Path Forest Classification on Graphics Processors

Marcos V. T. Romero; Adriana S. Iwashita; Luciene P. Papa; André N. Souza; João P. Papa

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Paper

Fast Optimum-Path Forest Classification on Graphics Processors

Topics: Categorization and Scene Understanding; Machine Learning Technologies for Vision

In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 627-631, 2014 , Lisbon, Portugal

Authors: Marcos V. T. Romero ¹ ; Adriana S. Iwashita ¹ ; Luciene P. Papa ² ; André N. Souza ¹ and João P. Papa ¹

Affiliations: ¹ São Paulo State University, Brazil ; ² Southwest Paulista College, Brazil

Keyword(s): Optimum-Path Forest, Graphics Processing Unit.

Abstract: Some pattern recognition techniques may present a high computational cost for learning samples’ behaviour. The Optimum-Path Forest (OPF) classifier has been recently developed in order to overcome such drawbacks. Although it can achieve faster training steps when compared to some state-of-art techniques, OPF can be slower for testing in some situations. Therefore, we propose in this paper an implementation in graphics cards of the OPF classification, which showed to be more efficient than traditional OPF with similar accuracies.

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Paper citation in several formats:

V. T. Romero, M.; S. Iwashita, A.; P. Papa, L.; N. Souza, A. and P. Papa, J. (2014). Fast Optimum-Path Forest Classification on Graphics Processors. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 627-631. DOI: 10.5220/0004740406270631

@conference{visapp14,
author={Marcos {V. T. Romero}. and Adriana {S. Iwashita}. and Luciene {P. Papa}. and André {N. Souza}. and João {P. Papa}.},
title={Fast Optimum-Path Forest Classification on Graphics Processors},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={627-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004740406270631},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Fast Optimum-Path Forest Classification on Graphics Processors
SN - 978-989-758-004-8
IS - 2184-4321
AU - V. T. Romero, M.
AU - S. Iwashita, A.
AU - P. Papa, L.
AU - N. Souza, A.
AU - P. Papa, J.
PY - 2014
SP - 627
EP - 631
DO - 10.5220/0004740406270631
PB - SciTePress