Vanessa Helena Pereira-Ferrero

According to our database, Vanessa Helena Pereira-Ferrero authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unsupervised affinity learning based on manifold analysis for image retrieval: A survey.

Vanessa Helena Pereira-Ferrero, T. G. Lewis, Lucas Pascotti Valem, L. G. P. Ferrero, Daniel C. G. Pedronette, Longin Jan Latecki

Comput. Sci. Rev., 2024

2023

Feature augmentation based on manifold ranking and LSTM for image classification.

Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette

Expert Syst. Appl., 2023

Self-Supervised Regression for Query Performance Prediction on Image Retrieval.

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

Feature Fusion and Augmentation based on Manifold Ranking for Image Classification.

Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID.

Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

A rank-based framework through manifold learning for improved clustering tasks.

Bionda Rozin, Vanessa Helena Pereira-Ferrero, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette

Inf. Sci., 2021

Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking.

Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021