Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Fabricio Breve"'
Autor:
Fabricio Breve
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-06T15:30:23Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-06-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Interactive image segmentation is a topic of many studies in image processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97af7fd14ae63a5f49bc7cd108d8014
https://doi.org/10.1016/j.eswa.2019.01.031
https://doi.org/10.1016/j.eswa.2019.01.031
Publikováno v:
CEC
Restricted Boltzmann Machines (RBM) are stochastic neural networks mainly used for image reconstruction and unsupervised feature learning. An enhanced version, the temperature-based RBM (T-RBM), considers a new temperature parameter during the learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab10807254430e34c96667fbef66e1fa
https://doi.org/10.1109/cec48606.2020.9185505
https://doi.org/10.1109/cec48606.2020.9185505
Autor:
Guilherme Toso, Fabricio Breve
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
The present work deals with the analysis of the synchronization possibility in chaotic oscillators, either completely or per phase, using a coupling force among them, so they can be used in attention systems. The neural models used were Hodgkin-Huxle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5648b89df94e17f484ab0bb72db75e61
https://doi.org/10.1007/978-3-030-58799-4_64
https://doi.org/10.1007/978-3-030-58799-4_64
Publikováno v:
Computational Science and Its Applications – ICCSA 2020 ISBN: 9783030587987
ICCSA (1)
ICCSA (1)
In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network construction phase, a weight vector is needed to define the importance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e93b9146340cdf7fca94b149755626c
https://doi.org/10.1007/978-3-030-58799-4_67
https://doi.org/10.1007/978-3-030-58799-4_67
Publikováno v:
IJCNN
Navigation and mobility are some of the major problems faced by visually impaired people in their daily lives. Advances in computer vision led to the proposal of some navigation systems. However, most of them require expensive and/or heavy hardware.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1411fa27b316428e5fef75d72e19444b
Autor:
Lucas Pascotti Valem, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Fabricio Breve
Publikováno v:
IJCNN
Due to the growing availability of unlabeled data and the difficulties in obtaining labeled data, the use of semi-supervised learning approaches becomes even more promising. The capacity of taking into account the dataset structure is of crucial rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3f641c412af50527a690ae37411df4
https://doi.org/10.1109/ijcnn.2018.8489487
https://doi.org/10.1109/ijcnn.2018.8489487
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
Semi-supervised learning methods are usually employed in the classification of data sets where only a small subset of the data items is labeled. In these scenarios, label noise is a crucial issue, since the noise may easily spread to a large portion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a54e440ec510cb2cd6cea02e4feff887
https://doi.org/10.1016/j.neucom.2014.08.082
https://doi.org/10.1016/j.neucom.2014.08.082
Autor:
Fabricio Breve
Publikováno v:
Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319623917
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected to its k-nearest neighbors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0b8d43453fe36923e967aeb333d802
https://doi.org/10.1007/978-3-319-62392-4_16
https://doi.org/10.1007/978-3-319-62392-4_16
Autor:
Fabricio Breve, Lucas Guerreiro
Publikováno v:
Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319624068
ICCSA (6)
ICCSA (6)
Machine Learning is an increasing area over the last few years and it is one of the highlights in Artificial Intelligence area. Nowadays, one of the most studied areas is Semi-supervised learning, mainly due to its characteristic of lower cost in lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c292f30de3769c7426c03ecd6bf8e70
https://doi.org/10.1007/978-3-319-62407-5_53
https://doi.org/10.1007/978-3-319-62407-5_53
Publikováno v:
MLSP
Semi-supervised learning methods exploit both labeled and unlabeled data items in their training process, requiring only a small subset of labeled items. Although capable of drastically reducing the costs of labeling process, such methods are directl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88d79075c49c45dfaf8470539ad79049
https://doi.org/10.1109/mlsp.2016.7738877
https://doi.org/10.1109/mlsp.2016.7738877