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Vector probability diffusion

Publication ,  Journal Article
Pardo, A; Sapiro, G
Published in: IEEE International Conference on Image Processing
2000

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.

Duke Scholars

Published In

IEEE International Conference on Image Processing

Publication Date

2000

Volume

1

Start / End Page

884 / 887
 

Citation

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MLA
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Pardo, A., & Sapiro, G. (2000). Vector probability diffusion. IEEE International Conference on Image Processing, 1, 884–887.
Pardo, A., and G. Sapiro. “Vector probability diffusion.” IEEE International Conference on Image Processing 1 (2000): 884–87.
Pardo A, Sapiro G. Vector probability diffusion. IEEE International Conference on Image Processing. 2000;1:884–7.
Pardo, A., and G. Sapiro. “Vector probability diffusion.” IEEE International Conference on Image Processing, vol. 1, 2000, pp. 884–87.
Pardo A, Sapiro G. Vector probability diffusion. IEEE International Conference on Image Processing. 2000;1:884–887.

Published In

IEEE International Conference on Image Processing

Publication Date

2000

Volume

1

Start / End Page

884 / 887