Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Comparative diagnostic accuracy of linear and nonlinear feature extraction methods in a neuro-oncology problem

Autor
Cruz, R.; Bautista-Villavicencio, D.; Vellido, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
3rd Mexican Conference on Pattern Recognition
Any de l'edició
2011
Data de presentació
2011
Llibre d'actes
Pattern recognition: third Mexican conference, MCPR 2011, Cancun, Mexico, June 29-July 2, 2011: proceedings
Pàgina inicial
34
Pàgina final
41
Editor
Springer
DOI
https://doi.org/10.1007/978-3-642-21587-2_4 Obrir en finestra nova
Projecte finançador
AIDTUMOUR: HERRAMIENTAS BASADAS EN METODOS DE INTELIGENCIA ARTIFICIAL PARA EL APOYO A LA DECISION EN
Repositori
http://hdl.handle.net/2117/18670 Obrir en finestra nova
URL
http://link.springer.com/chapter/10.1007%2F978-3-642-21587-2_4 Obrir en finestra nova
Resum
The diagnostic classification of human brain tumours on the basis of magnetic resonance spectra is a non-trivial problem in which dimensionality reduction is almost mandatory. This may take the form of feature selection or feature extraction. In feature extraction using manifold learning models, multivariate data are described through a low-dimensional manifold embedded in data space. Similarities between points along this manifold are best expressed as geodesic distances or their approximations...
Citació
Cruz, R.; Bautista-Villavicencio, D.; Vellido, A. Comparative diagnostic accuracy of linear and nonlinear feature extraction methods in a neuro-oncology problem. A: Mexican Conference on Pattern Recognition. "Pattern recognition: third Mexican conference, MCPR 2011, Cancun, Mexico, June 29-July 2, 2011: proceedings". Cancún: Springer, 2011, p. 34-41.
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants

  • Cruz Barbosa, Raul  (autor ponent)
  • Bautista Villavicencio, David  (autor ponent)
  • Vellido Alcacena, Alfredo  (autor ponent)