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Fusion for Evaluation of Image Classification in Uncertain Environments
[article]
2008
arXiv
pre-print
We present in this article a new evaluation method for classification and segmentation of textured images in uncertain environments. In uncertain environments, real classes and boundaries are known with only a partial certainty given by the experts. Most of the time, in many presented papers, only classification or only segmentation are considered and evaluated. Here, we propose to take into account both the classification and segmentation results according to the certainty given by the
arXiv:0805.3935v1
fatcat:qogriw5fyvd2zlmiqtbifwwb4y