1 citations · 1 across the 3 of their papers we have counts for
4 papers
PUBO Formulation for MST and Application to Optimum-Path Forest
Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos +5
The Optimum-Path Forest is a graph-based framework for designing classifiers that exploit inter-sample connectivity. A particular variant constructs decision boundaries based on pr…
FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems
Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos +4
Finding the minimum spanning tree (MST) of a graph is an important task in computer vision, as it enables a sparse and low-cost representation of connectivity among elements (such…
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis
Leandro A. Passos, Douglas Rodrigues, Danilo Jodas +3
This paper presents BioNeRF, a biologically plausible architecture that models scenes in a 3D representation and synthesizes new views through radiance fields. Since NeRF relies on…
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
Mateus Roder, Leandro Aparecido Passos, João Paulo Papa +1
Quality classification of wood boards is an essential task in the sawmill industry, which is still usually performed by human operators in small to median companies in developing c…