Daniel Carlos Guimarães Pedronette

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Ricardo da Silva TorresProfessor in Data Science and Artificial Intelligence, Wageningen University & ResearchVerified email at wur.nl
Lucas Pascotti ValemComputer Science, UNESPVerified email at unesp.br
Jurandy AlmeidaAssociate Professor, Federal University of São Carlos (UFSCAR)Verified email at ufscar.br
Ivan Rizzo GuilhermeUNESPVerified email at rc.unesp.br
João Paulo PapaFull Professor, IEEE Senior, FIAPR, Fellow Alexander von Humboldt, São Paulo State UniversityVerified email at unesp.br
Otávio A. B. PenattiResearch Manager at Samsung, BrazilVerified email at penatti.com
Rodrigo Tripodi CalumbyProfessor, University of Feira de SantanaVerified email at uefs.br
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaVerified email at temple.edu
Edson BorinUniversity of CampinasVerified email at ic.unicamp.br
Lin Tzy LiSamsung R&D Institute Brazil / Universidade Estadual de CampinasVerified email at ic.unicamp.br
Fabio Augusto FariaFederal University of São PauloVerified email at unifesp.br
Alexandro BaldassinAssociate Professor of Computer Science, Universidade Estadual Paulista (Unesp)Verified email at unesp.br
Mauricio Breternitz Jr.Principal Researcher & Invited Associate Professor, ISTAR-IUL , ISCTE-IULVerified email at iscte.pt
Ying WengAssociate Professor in Computer Science, University of NottinghamVerified email at nottingham.edu.cn
Flávia PisaniLift VenturesVerified email at ic.unicamp.br
Jefersson A. dos SantosUniversity of Sheffield, UK - School of Computer ScienceVerified email at sheffield.ac.uk
Fabricio BreveAssociate Professor, UNESP - Universidade Estadual Paulista "Júlio de Mesquita Filho"Verified email at unesp.br
Patricia MorellatoProfessor, Department of Biodiversity, UNESPVerified email at unesp.br
Marcos Andre GoncalvesComputer Science Professor, Universidade Federal de Minas Gerais, BrazilVerified email at dcc.ufmg.br
Dr. Anderson Rocha (Full-Professor)University of Campinas (Unicamp), Campinas, SP, BrazilVerified email at unicamp.br

Daniel Carlos Guimarães Pedronette

Associate Professor, State University of São Paulo (UNESP)

Verified email at unesp.br - Homepage

Content-Based Image Retrieval Unsupervised Learning Manifold Learning


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Image re-ranking and rank aggregation based on similarity of ranked lists DCG Pedronette, RS Torres Pattern Recognition 46 (8), 2350-2360, 2013	113	2013
A scalable re-ranking method for content-based image retrieval DCG Pedronette, J Almeida, RS Torres Information Sciences 265, 91-104, 2014	82	2014
Shape retrieval using contour features and distance optimization. DCG Pedronette, R da Silva Torres VISAPP (2), 197-202, 2010	79	2010
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks DCG Pedronette, FMF Gonçalves, IR Guilherme Pattern Recognition 75, 161-174, 2018	64	2018
Unsupervised manifold learning using reciprocal knn graphs in image re-ranking and rank aggregation tasks DCG Pedronette, OAB Penatti, RS Torres Image and Vision Computing 32 (2), 120-130, 2014	58	2014
Exploiting pairwise recommendation and clustering strategies for image re-ranking DCG Pedronette, RS Torres Information Sciences 207, 19-34, 2012	57	2012
A correlation graph approach for unsupervised manifold learning in image retrieval tasks DCG Pedronette, RS Torres Neurocomputing 208, 66-79, 2016	47	2016
Multimedia retrieval through unsupervised hypergraph-based manifold ranking DCG Pedronette, LP Valem, J Almeida, RS Torres IEEE Transactions on Image Processing 28 (12), 5824-5838, 2019	43	2019
Exploiting contextual spaces for image re-ranking and rank aggregation DCG Pedronette, R da S. Torres Proceedings of the 1st ACM international conference on multimedia retrieval, 1-8, 2011	37	2011
Semi-supervised and active learning through manifold reciprocal kNN graph for image retrieval DCG Pedronette, Y Weng, A Baldassin, C Hou Neurocomputing 340, 19-31, 2019	33	2019
Exploiting contextual information for image re-ranking and rank aggregation DCG Pedronette, RS Torres International Journal of Multimedia Information Retrieval 1, 115-128, 2012	30	2012
Semantic guided interactive image retrieval for plant identification FMF Gonçalves, IR Guilherme, DCG Pedronette Expert Systems with Applications 91, 12-26, 2018	25	2018
Image re-ranking and rank aggregation based on similarity of ranked lists DC Guimarães Pedronette, R S Torres International Conference on Computer Analysis of Images and Patterns, 369-376, 2011	25	2011
Rank-based self-training for graph convolutional networks DCG Pedronette, LJ Latecki Information Processing & Management 58 (2), 102443, 2021	23	2021
A bfs-tree of ranking references for unsupervised manifold learning DCG Pedronette, LP Valem, RS Torres Pattern Recognition 111, 107666, 2021	23	2021
Unsupervised graph-based rank aggregation for improved retrieval IC Dourado, DCG Pedronette, R da Silva Torres Information Processing & Management 56 (4), 1260-1279, 2019	23	2019
An unsupervised distance learning framework for multimedia retrieval LP Valem, DCG Pedronette Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017	23	2017
Unsupervised selective rank fusion for image retrieval tasks LP Valem, DCG Pedronette Neurocomputing 377, 182-199, 2020	22	2020
Unsupervised distance learning by rank correlation measures for image retrieval CY Okada, DCG Pedronette, R da S. Torres Proceedings of the 5th ACM on International Conference on Multimedia …, 2015	22	2015
Exploiting clustering approaches for image re-ranking DCG Pedronette, RS Torres Journal of Visual Languages & Computing 22 (6), 453-466, 2011	22	2011

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