Vector probability diffusion

Alvaro Pardo, Guillermo Sapiro

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

8 Citas (Scopus)

Resumen

A method for isotropic and anisotropic diffusion of vector probabilities in general, and posterior probabilities in particular, is introduced. The technique is based on diffusing via coupled partial differential equations restricted to the semi-hyperplane corresponding to probability functions. Both the partial differential equations and their corresponding numerical implementation guarantee that the vector remains a probability vector, having all its components positive and adding to one. Applying the method to posterior probabilities in classification problems, spatial and contextual coherences is introduced before the MAP decision, thereby improving the classification results.

Idioma originalInglés
Páginas (desde-hasta)884-887
Número de páginas4
PublicaciónIEEE International Conference on Image Processing
Volumen1
DOI
EstadoPublicada - 2000
Publicado de forma externa

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