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On the computation of the geodesic distance with an application to dimensionality reduction in a neuro-oncology problem

Autor
Cruz, R.; Bautista-Villavicencio, D.; Vellido, A.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
16th Iberoamerican Congress on Pattern Recognition
Any de l'edició
2011
Data de presentació
2011
Llibre d'actes
Progress in pattern recognition, image analysis, computer vision, and applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011: proceedings
Pàgina inicial
483
Pàgina final
490
Editor
Springer
DOI
https://doi.org/10.1007/978-3-642-25085-9_57 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/2117/18672 Obrir en finestra nova
URL
http://link.springer.com/chapter/10.1007%2F978-3-642-25085-9_57 Obrir en finestra nova
Resum
Manifold learning models attempt to parsimoniously describe multivariate data through a low-dimensional manifold embedded in data space. Similarities between points along this manifold are often expressed as Euclidean distances. Previous research has shown that these similarities are better expressed as geodesic distances. Some problems concerning the computation of geodesic distances along the manifold have to do with time and storage restrictions related to the graph representation of the mani...
Citació
Cruz, R.; Bautista-Villavicencio, D.; Vellido, A. On the computation of the geodesic distance with an application to dimensionality reduction in a neuro-oncology problem. A: Iberoamerican Conference on Pattern Recognition. "Progress in pattern recognition, image analysis, computer vision, and applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011: proceedings". Pucón: Springer, 2011, p. 483-490.
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)