Daniel Carlos Guimarães Pedronette

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Ricardo da Silva TorresProfessor in Data Science and Artificial Intelligence, Wageningen University & ResearchPatvirtintas el. paštas wur.nl
Lucas Pascotti ValemAssistant Professor, University of São Paulo - SCC / ICMC / USPPatvirtintas el. paštas icmc.usp.br
Jurandy AlmeidaAssociate Professor, Federal University of São Carlos (UFSCAR)Patvirtintas el. paštas ufscar.br
Ivan Rizzo GuilhermeUNESPPatvirtintas el. paštas rc.unesp.br
João Paulo PapaFull Professor, SMIEEE, FIAPR, FAAIA, FAvH, São Paulo State UniversityPatvirtintas el. paštas unesp.br
Rodrigo Tripodi CalumbyProfessor, University of Feira de SantanaPatvirtintas el. paštas uefs.br
Otávio A. B. PenattiResearch Manager at Samsung, BrazilPatvirtintas el. paštas penatti.com
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaPatvirtintas el. paštas temple.edu
Edson BorinUniversity of CampinasPatvirtintas el. paštas ic.unicamp.br
Lin Tzy LiSamsung R&D Institute Brazil / Universidade Estadual de CampinasPatvirtintas el. paštas ic.unicamp.br
Fabio Augusto FariaFederal University of São PauloPatvirtintas el. paštas unifesp.br
Alexandro BaldassinAssociate Professor of Computer Science, Universidade Estadual Paulista (Unesp)Patvirtintas el. paštas unesp.br
Mauricio Breternitz Jr.Principal Researcher & Invited Associate Professor, ISTAR-IUL , ISCTE-IULPatvirtintas el. paštas iscte.pt
Ying WengAssociate Professor in Computer Science, University of NottinghamPatvirtintas el. paštas nottingham.edu.cn
Flávia PisaniLift VenturesPatvirtintas el. paštas ic.unicamp.br
Jefersson A. dos SantosUniversity of Sheffield - School of Computer SciencePatvirtintas el. paštas sheffield.ac.uk
Fabricio BreveAssociate Professor, UNESP - Universidade Estadual Paulista "Júlio de Mesquita Filho"Patvirtintas el. paštas unesp.br
Patricia MorellatoProfessor, Department of Biodiversity, UNESPPatvirtintas el. paštas unesp.br
Marcos Andre GoncalvesComputer Science Professor, Universidade Federal de Minas Gerais, BrazilPatvirtintas el. paštas dcc.ufmg.br
Dr. Anderson Rocha (Full-Professor)University of Campinas (Unicamp), Campinas, SP, BrazilPatvirtintas el. paštas unicamp.br

Stebėti

Daniel Carlos Guimarães Pedronette

Associate Professor, State University of São Paulo (UNESP)

Patvirtintas el. paštas unesp.br - Pagrindinis puslapis

Content-Based Image Retrieval Unsupervised Learning Manifold Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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
Shape retrieval using contour features and distance optimization DCG Pedronette, RS Torres International Conference on Computer Vision Theory and Applications 2, 197-202, 2010	82	2010
A scalable re-ranking method for content-based image retrieval DCG Pedronette, J Almeida, RS Torres Information Sciences 265, 91-104, 2014	78	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	67	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	61	2014
Exploiting pairwise recommendation and clustering strategies for image re-ranking DCG Pedronette, RS Torres Information Sciences 207, 19-34, 2012	58	2012
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	52	2019
A correlation graph approach for unsupervised manifold learning in image retrieval tasks DCG Pedronette, RS Torres Neurocomputing 208, 66-79, 2016	47	2016
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	40	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	34	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	31	2012
Rank-based self-training for graph convolutional networks DCG Pedronette, LJ Latecki Information Processing & Management 58 (2), 102443, 2021	26	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	26	2019
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	26	2011
Unsupervised selective rank fusion for image retrieval tasks LP Valem, DCG Pedronette Neurocomputing 377, 182-199, 2020	25	2020
Semantic guided interactive image retrieval for plant identification FMF Gonçalves, IR Guilherme, DCG Pedronette Expert Systems with Applications 91, 12-26, 2018	25	2018
An unsupervised distance learning framework for multimedia retrieval LP Valem, DCG Pedronette Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017	24	2017
A bfs-tree of ranking references for unsupervised manifold learning DCG Pedronette, LP Valem, RS Torres Pattern Recognition 111, 107666, 2021	23	2021
Exploiting clustering approaches for image re-ranking DCG Pedronette, RS Torres Journal of Visual Languages & Computing 22 (6), 453-466, 2011	23	2011
Using contextual spaces for image re-ranking and rank aggregation DCG Pedronette, R da Silva Torres, RT Calumby Multimedia tools and applications 69, 689-716, 2014	22	2014

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