Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sílvia Grasiella Moreira Almeida"'
Publikováno v:
Neural Computing and Applications. 33:10449-10467
Sign language recognition is considered the most important and challenging application in gesture recognition, involving the fields of pattern recognition, machine learning and computer vision. This is mainly due to the complex visual–gestural natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7452a1416f70f056c90c8092576d6795
https://doi.org/10.1007/s00521-021-05802-4
https://doi.org/10.1007/s00521-021-05802-4
Autor:
Sílvia Grasiella Moreira Almeida, Diego dos Santos Carneiro, Cristiano Lúcio Cardoso Rodrigues, Agnaldo José da Rocha Reis
Publikováno v:
Anais do 14º Simpósio Brasileiro de Automação Inteligente.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ccf77891cc19611ec88529d67163d7
https://doi.org/10.17648/sbai-2019-111596
https://doi.org/10.17648/sbai-2019-111596
Autor:
Moises Mendes de Assis, Frederico Gadelha Guimarães, Rúbia Reis Guerra, Tamires Martins Rezende, Sílvia Grasiella Moreira Almeida, Giulia Zanon Castro, Cristiano Leite de Castro, Gabriela Tolentino Boaventura de Almeida
Publikováno v:
Anais do 14º Simpósio Brasileiro de Automação Inteligente.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19bad5a80c3a31a7555b7da0a7fcae77
https://doi.org/10.17648/sbai-2019-111451
https://doi.org/10.17648/sbai-2019-111451
Autor:
Rúbia Reis Guerra, Tamires Martins Rezende, Sílvia Grasiella Moreira Almeida, Frederico Gadelha Guimarães
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
Sign language is one of the main forms of communication used by the deaf community. The language’s smallest unit, a “sign”, comprises a series of intricate manual and facial gestures. As opposed to speech recognition, sign language recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b748a4a373ccb3409ba7ecfef97a151b
https://doi.org/10.5753/eniac.2018.4418
https://doi.org/10.5753/eniac.2018.4418
Publikováno v:
Expert Systems with Applications. 41:7259-7271
In contrast to speech recognition, whose speech features have been extensively explored in the research literature, feature extraction in Sign Language Recognition (SLR) is still a very challenging problem. In this paper we present a methodology for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6b96d7824e3e1e8da511a8a961989f
https://doi.org/10.1016/j.eswa.2014.05.024
https://doi.org/10.1016/j.eswa.2014.05.024
Publikováno v:
Anais do 9. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b94e56f95a46d7f062fe48bbad63a882
https://doi.org/10.21528/cbrn2009-192
https://doi.org/10.21528/cbrn2009-192
Autor:
Sílvia Grasiella Moreira Almeida, Frederico Coelho, Frederico Gadelha Guimarães, Antônio de Pádua Braga
Publikováno v:
Intelligent Data Engineering and Automated Learning-IDEAL 2012 ISBN: 9783642326387
IDEAL
IDEAL
Semi-supervised clustering aims at accomplishing the clustering task by considering also labels or constraints provided by an external agent. Usually, the agent would provide the output label for a reduced number of patterns or, in the case of lack o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35c3f0885c3c200d37adbaa13c890d2
https://doi.org/10.1007/978-3-642-32639-4_62
https://doi.org/10.1007/978-3-642-32639-4_62
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
The feature extraction in Sign Language Recognition (SLR) is a challenging problem in Computer Vision. In this work, a methodology for feature extraction in Brazilian Sign Language (BSL, or Libras in Portuguese) that addresses some of these challenge
Externí odkaz:
http://hdl.handle.net/1843/BUOS-9QJH83
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
In this work, a general system for self-calibration and linearization of sensors is proposed, involving hardware and software solutions. The hardware is responsible for the data acquisition and signal conditioning. The software solutions employs radi
Externí odkaz:
http://hdl.handle.net/1843/BUOS-8CKHMG
Autor:
Tamires Martins Rezende
Publikováno v:
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico O reconhecimento automático da Língua de Sinais tem sido um desafio para a área de Inteligência Computacional, dada a natureza visual-gestual que configura esse complexo siste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce56d62f9b2fe74208c1b1e7c2358c1
https://orcid.org/0000-0002-5152-2488
https://orcid.org/0000-0002-5152-2488