Vector probability diffusion

Journal Article

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 coherence is introduced before the maximum a posteriori (MAP) decision, thereby improving the classification results.

Full Text

Duke Authors

Cited Authors

  • Pardo, A; Sapiro, G

Published Date

  • 2001

Published In

Volume / Issue

  • 8 / 4

Start / End Page

  • 106 - 109

International Standard Serial Number (ISSN)

  • 1070-9908

Digital Object Identifier (DOI)

  • 10.1109/97.911471