1 code implementation • 24 Jun 2022 • Fagner Cunha, Eulanda M. dos Santos, Juan G. Colonna
Although in most cases these rare species are the ones of interest to ecologists, they are often neglected when using deep-learning models because these models require a large number of images for the training.
1 code implementation • 18 Apr 2021 • Fagner Cunha, Eulanda M. dos Santos, Raimundo Barreto, Juan G. Colonna
Monitoring wildlife through camera traps produces a massive amount of images, whose a significant portion does not contain animals, being later discarded.
no code implementations • 18 Mar 2021 • Bernardo B. Gatto, Juan G. Colonna, Eulanda M. dos Santos, Alessandro L. Koerich, Kazuhiro Fukui
Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our planet.
no code implementations • 4 Sep 2019 • Bernardo B. Gatto, Eulanda M. dos Santos, Alessandro L. Koerich, Kazuhiro Fukui, Waldir S. S. Junior
In this paper, we present a new method for multi-dimensional data classification that relies on two premises: 1) multi-dimensional data are usually represented by tensors, since this brings benefits from multilinear algebra and established tensor factorization methods; and 2) multilinear data can be described by a subspace of a vector space.