@inproceedings{1b9cd741030c4207b0ab9ba605a673c1,
title = "Outlier process",
abstract = "We discuss the problem of detecting outliers from a set of surface data. We start from the Bayes approach and the assumption that surfaces are (i) piecewise smooth and (ii) corrupted by a combination of white Gaussian and salt and pepper noise. We show that we can model such surfaces by introducing an outlier process that is capable of 'throwing away' data. We make use of mean field techniques to finally obtain a deterministic network. The experimental results with real images support the model.",
author = "Davi Geiger and {Marques Pereiro}, {Ricardo Alberto}",
year = "1991",
language = "English (US)",
isbn = "0780301188",
series = "Neural Networks for Signal Processing",
publisher = "Publ by IEEE",
pages = "60--69",
booktitle = "Neural Networks for Signal Processing",
note = "Proceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91 ; Conference date: 30-09-1991 Through 02-10-1991",
}