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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Learning cost function for graph classification with open-set methods

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Author(s):
Werneck, Rafael de Oliveira [1] ; Raveaux, Romain [2] ; Tabbone, Salvatore [3] ; Torres, Ricardo da Silva [1, 4]
Total Authors: 4
Affiliation:
[1] Univ Campinas UNICAMP, Inst Comp, BR-13083852 Campinas, SP - Brazil
[2] Univ Francois Rabelais Tours, F-37200 Tours - France
[3] Univ Lorraine, LORIA UMR 7503, Vandoeuvre Les Nancy - France
[4] Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, NTNU, Trondheim - Norway
Total Affiliations: 4
Document type: Journal article
Source: PATTERN RECOGNITION LETTERS; v. 128, p. 8-15, DEC 1 2019.
Web of Science Citations: 1
Abstract

In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a graph matching-based classifier. The learning algorithm is based on an open-set recognition approach. An open-set recognition describes a problem formulation in which the training process does not have access to labeled samples of all classes that may show up during the test phase. We also investigate a set of measures to characterize local graph properties. Performed experiments considering widely used datasets demonstrate that our solution leads to better or comparable results to those observed for several state-of-the-art baselines. (C) 2019 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil
Grantee:Rubens Augusto Camargo Lamparelli
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 17/16453-5 - A bag-of-graphs approach for cross-modal representations
Grantee:Rafael de Oliveira Werneck
Support type: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system
Grantee:Sergio Augusto Cunha
Support type: Multi-user Equipment Program
FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
Grantee:Alexandre Xavier Falcão
Support type: Research Projects - Thematic Grants
FAPESP's process: 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes
Grantee:Ricardo da Silva Torres
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
Grantee:Leonor Patricia Cerdeira Morellato
Support type: Research Program on Global Climate Change - University-Industry Cooperative Research (PITE)
FAPESP's process: 16/18429-1 - A bag-of-graphs approach for cross-modal representations
Grantee:Rafael de Oliveira Werneck
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support type: Research Projects - Thematic Grants