Zobrazeno 1 - 10
of 23
pro vyhledávání: '"L. Rufiner"'
Publikováno v:
Complexity, Vol 2018 (2018)
In recent years, an increasing interest in the development of discriminative methods based on sparse representations with discrete dictionaries for signal classification has been observed. It is still unclear, however, what is the most appropriate wa
Externí odkaz:
https://doaj.org/article/6bec7d7c3a924dc5b3ce081fac198886
Publikováno v:
Complexity, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/478d5a1e2fe446df9429c52135961ff1
Autor:
Hugo L. Rufiner, Diego H. Milone
Publikováno v:
Ciencia, Docencia y Tecnología, Vol 15, Iss 28, Pp 151-177 (2004)
Este trabajo es el resultado de un emprendimiento multidisciplinario en el que se utilizaron herramientas de fonética, fisiología del oído y de la percepción auditiva, lingüística, gramática, redes neuronales, modelización, electrónica an
Externí odkaz:
https://doaj.org/article/f3b649ea797f4710a0663da1ff12f92b
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/d9b754e4cb6d42faa9094ddf880b9044
Publikováno v:
Medicalbiological engineeringcomputing. 57(3)
The P300 component of event-related potentials (ERPs) is widely used in the implementation of brain computer interfaces (BCI). In this context, one of the main issues to solve is the binary classification problem that entails differentiating between
Autor:
Himakshi Choudhury, Banriskhem K. Khonglah, H. L. Rufiner, Vineeth N Balasubramanian, S. R. M. Prasanna, Arghya Pal, Subhasis Mandal
Publikováno v:
2016 Twenty Second National Conference on Communication (NCC).
This work describes the development of online handwritten isolated Bengali numerals using Deep Autoencoder (DA) based on Multilayer perceptron (MLP) [1]. Autoencoders capture the class specific information and the deep version uses many hidden layers
Publikováno v:
IFMBE Proceedings ISBN: 9783319131160
A Brain Computer Interface (BCI) provides a direct form of communication between a person and the outside world using brain signals, either to increase his/her integration in society or to provide a way to control the environment where he/she lives.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953577ba0552596d1dd9fe08bc00ee17
https://doi.org/10.1007/978-3-319-13117-7_154
https://doi.org/10.1007/978-3-319-13117-7_154
Autor:
Iván Gareis, Yanina Atum, V. Medina Bañuelos, Gerardo Gabriel Gentiletti, H. L. Rufiner, Ruben Acevedo
Publikováno v:
V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba ISBN: 9783642211973
The brain-computer interfaces (BCI) translate brain activity into commands for a computer. To improve the performance of BCI, it is necessary to improve the feature extraction techniques that are used to decode the intentions of the users and get a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cf335f4e0241c054a1fe69a51c4738
https://doi.org/10.1007/978-3-642-21198-0_301
https://doi.org/10.1007/978-3-642-21198-0_301
Conference
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Autor:
Yanina Atum, Gerardo Gabriel Gentiletti, Ruben Acevedo, H. L. Rufiner, Iván Gareis, Verónica Medina Bañuelos
Publikováno v:
2011 5th International IEEE/EMBS Conference on Neural Engineering.
Brain computer interfaces (BCIs) translate brain activity into computer commands. To enhance the performance of a BCI, it is necessary to improve the feature extraction techniques being applied to decode the users' intentions. Objective comparison me