no code implementations • 10 Nov 2020 • Juan F. H. Albarracín, Rafael S. Oliveira, Marina Hirota, Jefersson A. dos Santos, Ricardo da S. Torres
We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks.
no code implementations • 22 Oct 2020 • Samuel G. Fadel, Sebastian Mair, Ricardo da S. Torres, Ulf Brefeld
In this paper, we solve this issue by enforcing a fixed norm and, hence, change the base distribution, to allow for a principled way of interpolation.
no code implementations • 6 Oct 2020 • Allan Pinto, Manuel A. Córdova, Luis G. L. Decker, Jose L. Flores-Campana, Marcos R. Souza, Andreza A. dos Santos, Jhonatas S. Conceição, Henrique F. Gagliardi, Diogo C. Luvizon, Ricardo da S. Torres, Helio Pedrini
Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications.
1 code implementation • 2 Mar 2019 • Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini, Thiago S. F. Silva, Leonor Patricia C. Morellato, Ricardo da S. Torres
Plant phenology studies rely on long-term monitoring of life cycles of plants.
no code implementations • 17 Nov 2018 • Samuel G. Fadel, Ricardo da S. Torres
Recent advances in employing neural networks on graph domains helped push the state of the art in link prediction tasks, particularly in recommendation services.
no code implementations • 18 Nov 2017 • Érico M. Pereira, Ricardo da S. Torres, Jefersson A. dos Santos
Recently, data-driven feature learning approaches have been successfully explored as alternatives for producing more representative visual features.
1 code implementation • 9 Nov 2017 • Keiller Nogueira, Samuel G. Fadel, Ícaro C. Dourado, Rafael de O. Werneck, Javier A. V. Muñoz, Otávio A. B. Penatti, Rodrigo T. Calumby, Lin Tzy Li, Jefersson A. dos Santos, Ricardo da S. Torres
Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities.
no code implementations • 20 Nov 2015 • Otávio A. B. Penatti, Sandra Avila, Eduardo Valle, Ricardo da S. Torres
Results for image classification show that as visual dictionaries are based on low-level visual appearances, visual diversity is more important than semantic diversity.