Прати
Daniel Carlos Guimarães Pedronette
Daniel Carlos Guimarães Pedronette
Associate Professor, State University of São Paulo (UNESP)
Верификована је имејл адреса на unesp.br - Почетна страница
Наслов
Навело
Навело
Година
Image re-ranking and rank aggregation based on similarity of ranked lists
DCG Pedronette, RS Torres
Pattern Recognition 46 (8), 2350-2360, 2013
1132013
Shape retrieval using contour features and distance optimization
DCG Pedronette, RS Torres
International Conference on Computer Vision Theory and Applications 2, 197-202, 2010
822010
A scalable re-ranking method for content-based image retrieval
DCG Pedronette, J Almeida, RS Torres
Information Sciences 265, 91-104, 2014
782014
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
672018
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
612014
Exploiting pairwise recommendation and clustering strategies for image re-ranking
DCG Pedronette, RS Torres
Information Sciences 207, 19-34, 2012
582012
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
522019
A correlation graph approach for unsupervised manifold learning in image retrieval tasks
DCG Pedronette, RS Torres
Neurocomputing 208, 66-79, 2016
472016
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
402011
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
342019
Exploiting contextual information for image re-ranking and rank aggregation
DCG Pedronette, RS Torres
International Journal of Multimedia Information Retrieval 1, 115-128, 2012
312012
Rank-based self-training for graph convolutional networks
DCG Pedronette, LJ Latecki
Information Processing & Management 58 (2), 102443, 2021
262021
Unsupervised graph-based rank aggregation for improved retrieval
IC Dourado, DCG Pedronette, R da Silva Torres
Information Processing & Management 56 (4), 1260-1279, 2019
262019
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
262011
Unsupervised selective rank fusion for image retrieval tasks
LP Valem, DCG Pedronette
Neurocomputing 377, 182-199, 2020
252020
Semantic guided interactive image retrieval for plant identification
FMF Gonçalves, IR Guilherme, DCG Pedronette
Expert Systems with Applications 91, 12-26, 2018
252018
An unsupervised distance learning framework for multimedia retrieval
LP Valem, DCG Pedronette
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
242017
A bfs-tree of ranking references for unsupervised manifold learning
DCG Pedronette, LP Valem, RS Torres
Pattern Recognition 111, 107666, 2021
232021
Exploiting clustering approaches for image re-ranking
DCG Pedronette, RS Torres
Journal of Visual Languages & Computing 22 (6), 453-466, 2011
232011
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
222014
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