Weighted LS-SVM for function estimation applied to artifact removal in bio-signal processing

Weighted LS-SVM is normally used for function estimation from highly corrupted data in order to decrease the impact of outliers. However, this method is limited in size and big time series should be segmented in smaller groups. Therefore, border discontinuities represent a problem in the final estim...

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Autores:

Tipo de recurso:

Fecha de publicación:

2010

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/28431

Acceso en línea:

https//doi.org 10.1109/IEMBS.2010.5627628
https://repository.urosario.edu.co/handle/10336/28431

Palabra clave:

Joints
Support vector machines
Estimation
Kernel
Biomedical measurements
Training
Robustness

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