Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Fabio A. M. Cappabianco"'
Publikováno v:
Pattern Recognition Letters. 140:267-273
Interactive image segmentation has considerably evolved from techniques that do not learn the parameters of the model to methods that pre-train a model and adapt it from user inputs during the process. However, user control over segmentation still re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab0fa0c7c5db7e92d1863cca8a64ade
https://doi.org/10.1016/j.patrec.2020.10.012
https://doi.org/10.1016/j.patrec.2020.10.012
Publikováno v:
ACM Computing Surveys. 53:1-34
Autonomous mobile robots are required to move throughout map the environment, locate themselves, and plan paths between positions. Vision stands out among the other senses for its richness and practicality. Even though there are well-established auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82f8222ea65504c319722c44c1114f7b
https://doi.org/10.1145/3368961
https://doi.org/10.1145/3368961
Publikováno v:
Anais Estendidos da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021).
Aircraft visual inspections, or General Visual Inspections (GVIs), aim at finding damages or anomalies on the exterior and interior surfaces of the aircraft, which might compromise its operation, structure, or safety when flying. Visual inspection is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294788341b3502a71a5c87ce83c07917
https://doi.org/10.5753/sibgrapi.est.2021.20034
https://doi.org/10.5753/sibgrapi.est.2021.20034
Publikováno v:
2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12e112ccc6a49ea0749cc3afcd4c00ef
https://doi.org/10.1109/sibgrapi54419.2021.00023
https://doi.org/10.1109/sibgrapi54419.2021.00023
Autor:
Fabio A. M. Cappabianco, André Marcorin de Oliveira, Sergio Ronaldo Barros dos Santos, Sidney N. Givigi, Thiago H. Sato
Publikováno v:
SysCon
This paper proposes an adaptive steering control strategy for self-driving cars based on a Fuzzy Expert System and Reinforcement Learning. Our objective consists in deriving an appropriate control law directly from a real vehicle that allows it to na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a25c85533d814af2a780c1d9b2770cc6
https://doi.org/10.1109/syscon48628.2021.9447097
https://doi.org/10.1109/syscon48628.2021.9447097
Autor:
Sidney N. Givigi, Marcos P. B. Magueta, Fabio A. M. Cappabianco, Sergio Ronaldo Barros dos Santos
Publikováno v:
SysCon
This paper presents a decentralized learning algorithm for learning how to coordinate an automated team of actuated parts designed to build several types of structures specified by a user on a plane surface. The algorithm learns from the environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60069b306ce827fb25f665080c070e3c
https://doi.org/10.1109/syscon47679.2020.9275866
https://doi.org/10.1109/syscon47679.2020.9275866
Publikováno v:
IJCNN
Deep Convolutional Neural Networks (CNNs) are becoming prominent models for semi-automated diagnosis of Alzheimer’s Disease (AD) using brain Magnetic Resonance Imaging (MRI). Although being highly accurate, deep CNN models lack transparency and int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d75ce0dd1e399dbd7dcd5cad66f0173
https://doi.org/10.1109/ijcnn48605.2020.9206837
https://doi.org/10.1109/ijcnn48605.2020.9206837
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The goal of this work is to describe an efficient algorithm for finding a binary segmentation of an image such that the indicated object satisfies a novel high-level prior, called local band, LB, constraint; the returned segmentation is optimal, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa6d82120da314efd2d5e23a80ca2742
Autor:
Fabio A. M. Cappabianco, Petrus P. C. E. da Silva, Jaime S. Ide, Sergio Ronaldo Barros dos Santos
Publikováno v:
ICIP
High-frequency noise is present in several modalities of medical images. It originates from the acquisition process, scanner configurations, the scanned body, or to other external factors. This way, prospective filters are an important tool to improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4236d522ec8a38983596645b97ca6925
https://doi.org/10.1109/icip.2019.8802958
https://doi.org/10.1109/icip.2019.8802958
Publikováno v:
ICIP
Evaluating medical imaging segmentation is a very complex problem. Several papers proposed methodologies and different metrics pursuing more reliable and unbiased procedures. In this paper, we propose a novel accuracy metric which is more balanced th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6fb9fd2d66b0ff4d456d45db2d47f6
https://doi.org/10.1109/icip.2019.8803083
https://doi.org/10.1109/icip.2019.8803083