Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jânio Canuto"'
Autor:
Jânio Canuto, Raimundo C. S. Freire, Elyson Adan Nunes Carvalho, Valner Joao Brusamarello, Matheus Oliveira Souza
Publikováno v:
Journal of Integrated Circuits and Systems. 15:1-5
In the classic displacer-type liquid level measuring method, liquid level is calculated via the buoyancy force exerted by the liquid on a displacer. This technology has high linearity, precision, accuracy, ease of installation and low cost. Nonethele
Publikováno v:
Journal of Communication and Information Systems. 35:300-310
Intrinsic dimension and differential entropy estimators are studied in this paper, including their systematic bias. A pragmatic approach for joint estimation and bias correction of these two fundamental measures is proposed. Shared steps on both esti
Autor:
George Victor Rocha Xavier, Jânio Canuto, José Jorge de Oliveira Neto, Diego Oliveira Cardoso
A Análise de Gases Dissolvidos (AGD) é uma poderosa técnica para diagnóstico de falhas incipientes em transformadores isolados a óleo. A utilização de classificadores inteligentes tem se tornado uma prática cada vez mais recorrente nesta áre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d80dce2852c4685465c1f4f37595c8
https://doi.org/10.37423/211105064
https://doi.org/10.37423/211105064
Publikováno v:
Journal of Communication and Information Systems. 33:184-190
This paper addresses statistical tricks found in deep convolutive neural networks. First, the most relevant statistical tricks are studied under the perspective of data scarcity, then one of them, directly related to convolution-like structures, is r
Publikováno v:
Journal of Communication and Information Systems. 33:331-338
A method for offline signature verification is presented in this paper. It is based on the segmentation of the signature skeleton (through standard image skeletonization) into unambiguous sequences of points, or unambiguously connected skeleton segme
Publikováno v:
Pattern Recognition Letters. 85:84-88
This work presents a new generalized correlation function (correntropy) estimator based on collision entropy. Both the proposed approach and the standard correntropy estimator, published in 2006, can be regarded as coincidence counting methods, one u
Publikováno v:
Journal of Communication and Information Systems. 31:304-312
A straightforward ''collision'' (quadratic) entropy estimator is used to give support, in a very pragmatic approach, to data analysis based on the concept of effective cardinality of sets. Thus, by using basic concepts of probability and set theories
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2016, pp.38-43. ⟨10.1016/j.patrec.2016.04.026⟩
Pattern Recognition Letters, Elsevier, 2016, pp.38-43. ⟨10.1016/j.patrec.2016.04.026⟩
The coarsest quantization of velocity signature signals carries most information.In average, velocity signal keeps less than 1% of the total signature energy.Infinite clipping of signatures leads to high performance without disclosing it. The infinit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::690ab9bbfcc4a142ae501f3a13a9a004
https://hal.archives-ouvertes.fr/hal-01354159
https://hal.archives-ouvertes.fr/hal-01354159
Autor:
Jugurta Montalvão, Jânio Canuto
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Publikováno v:
Pattern Analysis and Applications. 13:397-407
A new approach for both hand image segmentation and feature extraction is described. The main advantage of this approach, namely its robustness to low quality images, is illustrated through verification experiments with two public databases: one with