Math @ Duke

Publications [#264944] of Guillermo Sapiro
Papers Published
 Pardo, A; Sapiro, G, Vector probability diffusion,
IEEE Signal Processing Letters, vol. 8 no. 4
(2001),
pp. 106109, ISSN 10709908 [doi]
(last updated on 2018/06/22)
Abstract: 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 semihyperplane 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.


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