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2020 – today
- 2024
[j3]Vanessa Helena Pereira-Ferrero, T. G. Lewis, Lucas Pascotti Valem, L. G. P. Ferrero, Daniel C. G. Pedronette, Longin Jan Latecki:
Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. Comput. Sci. Rev. 53: 100657 (2024)- 2023
- [j2]Vanessa Helena Pereira-Ferrero
, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Feature augmentation based on manifold ranking and LSTM for image classification. Expert Syst. Appl. 213(Part): 118995 (2023) - [c4]Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette:
Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. AIKE 2023: 75-82 - [c3]Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette:
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE 2023: 95-98 - 2022
- [c2]Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette:
A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. ICIP 2022: 1371-1375 - 2021
- [j1]Bionda Rozin, Vanessa Helena Pereira-Ferrero, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette:
A rank-based framework through manifold learning for improved clustering tasks. Inf. Sci. 580: 202-220 (2021) - [c1]Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette:
Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. SIBGRAPI 2021: 417-424
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