Towards Improved Ranking Metrics


In many computer vision algorithms, a metric or similarity measure is used to determine the distance between two features. The Euclidean or SSD (sum of the squared diierences) metric is prevalent and justiied from a maximum likelihood perspective when the additive noise distribution is Gaussian. Based on real noise distributions measured from international… (More)


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