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Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
(2020-07-01)
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 ...
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
(Ieee, 2020-01-01)
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 ...
Semi-supervised extreme learning machine channel estimator and equalizer for vehicle to vehicle communications
(MDPI, 2021)
Wireless vehicular communications are a promising technology. Most applications related to vehicular communications aim to improve road safety and have special requirements concerning latency and reliability. The traditional ...
Confidence factor and feature selection for semi-supervised multi-label classification methodsFator de confid?ncia em sele??o de caracter?sticas para m?todos de classifica??o semi-supervisionado multi-r?tulo
(Instituto Federal de Educa??o, Ci?ncia e Tecnologia do Rio Grande do NorteBrasilParnamirimIFRN, 2017)
Particle competition and cooperation for semi-supervised learning with label noise
(Elsevier B.V., 2015)
Active Semi-Supervised Learning using Particle Competition and Cooperation in Networks
(Ieee, 2013-01-01)
Both Active Learning and Semi-Supervised Learning are important techniques when labeled data are scarce and unlabeled data are abundant. In this paper, these two machine learning techniques are combined into a new ...
Recent advances on optimum-path forest for data classification: Supervised, semi-supervised, and unsupervised learning
(2015-12-15)
Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been ...
Agrupamento de dados semissupervisionado na geração de regras fuzzy
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2010-08-27)
Inductive learning is, traditionally, categorized as supervised and unsupervised.
In supervised learning, the learning method is given a labeled data set (classes
of data are known). Those data sets are adequate for ...
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2021-11-23)
Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ...