‪Daniel Carlos Guimarães Pedronette‬

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Ricardo da Silva TorresFull Professor, Wageningen University & Research and Norwegian University of Science and TechnologyAdresse e-mail validée de ntnu.no
Lucas Pascotti ValemComputer Science, UNESPAdresse e-mail validée de unesp.br
Jurandy AlmeidaAssistant Professor, Federal University of São Carlos (UFSCAR)Adresse e-mail validée de ufscar.br
Ivan Rizzo GuilhermeUNESPAdresse e-mail validée de rc.unesp.br
João Paulo PapaFull Professor, IEEE Senior, Alexander von Humboldt Research Fellow, São Paulo State UniversityAdresse e-mail validée de unesp.br
Otávio A. B. PenattiResearch Manager at Samsung, BrazilAdresse e-mail validée de penatti.com
Rodrigo Tripodi CalumbyProfessor, University of Feira de SantanaAdresse e-mail validée de uefs.br
Edson BorinUniversity of CampinasAdresse e-mail validée de ic.unicamp.br
Lin Tzy LiSamsung R&D Institute Brazil / Universidade Estadual de CampinasAdresse e-mail validée de ic.unicamp.br
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaAdresse e-mail validée de temple.edu
Alexandro BaldassinAssociate Professor of Computer Science, Universidade Estadual Paulista (Unesp)Adresse e-mail validée de unesp.br
Fabio Augusto FariaFederal University of São PauloAdresse e-mail validée de unifesp.br
Mauricio Breternitz Jr.Principal Researcher & Invited Associate Professor, ISTAR-IUL , ISCTE-IULAdresse e-mail validée de iscte.pt
Ying WengAssociate Professor in Computer Science, University of NottinghamAdresse e-mail validée de nottingham.edu.cn
Flávia PisaniUniversity of Campinas (UNICAMP)Adresse e-mail validée de ic.unicamp.br
Jefersson A. dos SantosDepartment of Computer Science, University of Sheffield, UKAdresse e-mail validée de sheffield.ac.uk
Fabricio BreveAssociate Professor, UNESP - Universidade Estadual Paulista "Júlio de Mesquita Filho"Adresse e-mail validée de unesp.br
Patricia MorellatoProfessor, Department of Biodiversity, UNESPAdresse e-mail validée de unesp.br
Marcos Andre GoncalvesComputer Science Professor, Universidade Federal de Minas Gerais, BrazilAdresse e-mail validée de dcc.ufmg.br
Dr. Anderson Rocha (Full-Professor)University of Campinas (Unicamp), Campinas, SP, BrazilAdresse e-mail validée de unicamp.br

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Daniel Carlos Guimarães Pedronette

Associate Professor, State University of São Paulo (UNESP)

Adresse e-mail validée de unesp.br - Page d'accueil

Content-Based Image Retrieval Unsupervised Learning Manifold Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Image re-ranking and rank aggregation based on similarity of ranked lists DCG Pedronette, RS Torres Pattern Recognition 46 (8), 2350-2360, 2013	108	2013
Shape retrieval using contour features and distance optimization. DCG Pedronette, R da Silva Torres VISAPP (2), 197-202, 2010	78	2010
A scalable re-ranking method for content-based image retrieval DCG Pedronette, J Almeida, RS Torres Information sciences 265, 91-104, 2014	63	2014
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	58	2018
Exploiting pairwise recommendation and clustering strategies for image re-ranking DCG Pedronette, RS Torres Information Sciences 207, 19-34, 2012	54	2012
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	51	2014
A correlation graph approach for unsupervised manifold learning in image retrieval tasks DCG Pedronette, RS Torres Neurocomputing 208, 66-79, 2016	42	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	37	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	36	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	32	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	29	2012
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	27	2011
Semantic guided interactive image retrieval for plant identification FMF Gonçalves, IR Guilherme, DCG Pedronette Expert Systems with Applications 91, 12-26, 2018	23	2018
Exploiting clustering approaches for image re-ranking DCG Pedronette, RS Torres Journal of Visual Languages & Computing 22 (6), 453-466, 2011	22	2011
Unsupervised graph-based rank aggregation for improved retrieval IC Dourado, DCG Pedronette, R da Silva Torres Information Processing & Management 56 (4), 1260-1279, 2019	21	2019
Rank-based self-training for graph convolutional networks DCG Pedronette, LJ Latecki Information Processing & Management 58 (2), 102443, 2021	20	2021
A graph-based ranked-list model for unsupervised distance learning on shape retrieval DCG Pedronette, J Almeida, RS Torres Pattern Recognition Letters 83, 357-367, 2016	20	2016
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	20	2015
Unsupervised selective rank fusion for image retrieval tasks LP Valem, DCG Pedronette Neurocomputing 377, 182-199, 2020	19	2020
Exploiting contextual information for rank aggregation DCG Pedronette, RS Torres 2011 18th IEEE International Conference on Image Processing, 97-100, 2011	19	2011

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