FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION

Rimantas Kybartas

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION

Topics: Classification; Multi-Agent Learning; Object Recognition

In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 564-567, 2012 , Vilamoura, Algarve, Portugal

Author: Rimantas Kybartas

Affiliation: Vilnius University, Lithuania

Keyword(s): Fuzzy Templates, Single layer perceptron, Support Vectors, Pair-wise classifiers, Multi-class classification.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Multi-Agent Learning ; Object Recognition ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: In this paper, a pair-wise classifier fusion by Fuzzy Templates is analyzed. Single layer perceptron and support vectors are used as pair-wise classifiers. Comments on weakness and strength of such fusion method are presented. The obtained results show, that in some cases such an approach could be competitive or even outperform other pair-wise classifier fusion methods.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.97.189

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Kybartas, R. (2012). FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 564-567. DOI: 10.5220/0003766505640567

@conference{icpram12,
author={Rimantas Kybartas.},
title={FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2012},
pages={564-567},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003766505640567},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - FUZZY TEMPLATES FOR PAIR-WISE MULTI-CLASS CLASSIFICATION
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Kybartas, R.
PY - 2012
SP - 564
EP - 567
DO - 10.5220/0003766505640567
PB - SciTePress