Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Distance-based features"'
Publikováno v:
Sensors, Vol 21, Iss 17, p 5856 (2021)
Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time. Previously, sensor-based approaches have obtai
Externí odkaz:
https://doaj.org/article/0d15b7d33a78468a86df6850cc3e6278
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5856, p 5856 (2021)
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5856, p 5856 (2021)
Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time. Previously, sensor-based approaches have obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62410047d1029c86feb98ef1defe3fd
https://pubmed.ncbi.nlm.nih.gov/34502747
https://pubmed.ncbi.nlm.nih.gov/34502747
Akademický článek
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Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011, Iss 1, p 62 (2011)
Abstract In data mining and pattern classification, feature extraction and representation methods are a very important step since the extracted features have a direct and significant impact on the classification accuracy. In literature, numbers of no
Externí odkaz:
https://doaj.org/article/3127e206d8d14de68bbcdb993f53784e
Autor:
Najdi, Shirin
Sleep stage classification is vital for diagnosing many sleep related disorders and Polysomnography (PSG) is an important tool in this regard. The visual process of sleep stage classification is time consuming, subjective and costly. To improve the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1437::71a9de88995ad9db3b756979a81596a8
https://hdl.handle.net/10362/66271
https://hdl.handle.net/10362/66271
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS. Sem PDF conforme despacho. Objective: In this paper, the contribution of distance-based features to automatic sleep stage classification is investigated. The p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4806d72a41c173c79b60b2a8cc2aba76
https://pubmed.ncbi.nlm.nih.gov/29529528
https://pubmed.ncbi.nlm.nih.gov/29529528
Publikováno v:
Journal of Discrete Mathematical Sciences and Cryptography. 13:305-318
In this paper, we propose two approaches for identification of block ciphers using support vector machines. Identification of the encryption method for block ciphers is considered as a pattern classification task. In the first approach, the cipher te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52fb9a99010982795aea082086ffa3d6
https://doi.org/10.1080/09720529.2010.10698296
https://doi.org/10.1080/09720529.2010.10698296
Akademický článek
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Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
instname
Miriam Moreno-Moreno ; Julian Fierrez ; Ruben Vera-Rodriguez ; Josep Parron; "Simulation of millimeter-wave body images and its application to biometric recognition", Passive and Active Millimeter-Wave Imaging XV, Proc. SPIE 8362 (May 1, 2012); doi:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d5480b0a8d77fca4ae685731c304bfe
https://doi.org/10.1117/12.918549
https://doi.org/10.1117/12.918549
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011, Iss 1, p 62 (2011)
In data mining and pattern classification, feature extraction and representation methods are a very important step since the extracted features have a direct and significant impact on the classification accuracy. In literature, numbers of novel featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68be5ae9299b5a6230a43f8be923b913
http://asp.eurasipjournals.com/content/2011/1/62
http://asp.eurasipjournals.com/content/2011/1/62