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Lucas Pascotti Valem
Lucas Pascotti Valem
Computer Science, UNESP
Verified email at unesp.br - Homepage
Title
Cited by
Cited by
Year
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
202019
Unsupervised selective rank fusion for image retrieval tasks
LP Valem, DCG Pedronette
Neurocomputing 377, 182-199, 2020
132020
Effective, efficient, and scalable unsupervised distance learning in image retrieval tasks
LP Valem, DCG Pedronette, RS Torres, E Borin, J Almeida
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
132015
An unsupervised distance learning framework for multimedia retrieval
LP Valem, DCG Pedronette
Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017
102017
Unsupervised similarity learning through Cartesian product of ranking references
LP Valem, DCG Pedronette, J Almeida
Pattern Recognition Letters 114, 41-52, 2018
92018
Unsupervised similarity learning through cartesian product of ranking references for image retrieval tasks
LP Valem, DCG Pedronette
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
92016
An unsupervised genetic algorithm framework for rank selection and fusion on image retrieval
LP Valem, DCG Pedronette
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
72019
Graph-based selective rank fusion for unsupervised image retrieval
LP Valem, DCG Pedronette
Pattern Recognition Letters 135, 82-89, 2020
62020
Unsupervised similarity learning through rank correlation and knn sets
LP Valem, CRD Oliveira, DCG Pedronette, J Almeida
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018
62018
A rank aggregation framework for video interestingness prediction
J Almeida, LP Valem, DCG Pedronette
International conference on image analysis and processing, 3-14, 2017
62017
Selection and combination of unsupervised learning methods for image retrieval
LP Valem, DCG Pedronette
Proceedings of the 15th International Workshop on Content-Based Multimedia …, 2017
62017
A BFS-Tree of ranking references for unsupervised manifold learning
DCG Pedronette, LP Valem, RS Torres
Pattern Recognition 111, 107666, 2021
52021
Manifold correlation graph for semi-supervised learning
LP Valem, DCG Pedronette, F Breve, IR Guilherme
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
32018
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira, L A. Passos, ...
ACM Computing Surveys (CSUR) 55 (2), 1-34, 2022
22022
A unified model for accelerating unsupervised iterative re‐ranking algorithms
F Pisani, L Pascotti Valem, DC Guimaraes Pedronette, R da S. Torres, ...
Concurrency and Computation: Practice and Experience 32 (14), e5702, 2020
22020
RaDE: A Rank-based Graph Embedding Approach.
FA de Fernando, DCG Pedronette, GJ de Sousa, LP Valem, IR Guilherme
VISIGRAPP (5: VISAPP), 142-152, 2020
22020
RaDE+: A semantic rank-based graph embedding algorithm
FA de Fernando, DCG Pedronette, GJ de Sousa, LP Valem, IR Guilherme
International Journal of Information Management Data Insights 2 (1), 100078, 2022
12022
Efficient Rank-Based Diffusion Process with Assured Convergence
DC Guimarães Pedronette, L Pascotti Valem, LJ Latecki
Journal of Imaging 7 (3), 49, 2021
12021
Weakly supervised learning through rank-based contextual measures
JGC Presotto, LP Valem, NG de Sá, DCG Pedronette, JP Papa
2020 25th International Conference on Pattern Recognition (ICPR), 5752-5759, 2021
12021
A Multi-level Rank Correlation Measure for Image Retrieval.
NG De Sá, LP Valem, DCG Pedronette
VISIGRAPP (5: VISAPP), 370-378, 2021
12021
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Articles 1–20