Sentence examples for minimum cross entropy from inspiring English sources

The minimum cross entropy thresholding (MCET) has been widely applied in image thresholding.

This new multilevel thresholding algorithm is called the firefly-based minimum cross entropy thresholding (FF-based MCET) algorithm.

In this paper, the principle of minimum cross entropy (CrossEnt) is extended to partial minimum CrossEnt principle, which is defined on a finite interval.

This equips minimum cross-entropy and FPD distributional estimates with measures of uncertainty.

Quantile function (QF) estimation by using minimum cross-entropy principle from complete or non-censored samples was reported before [Pandey MD. Extreme quantile estimation using order statistics with minimum cross-entropy principle. Probabilist Eng Mech 2001 16 1 31 42]].

In this work, we concentrate on multicomponent signals represented by the minimum cross-entropy TF distribution (MCE-TFD).

The minimum cross-entropy principle is an established technique for design of an unknown distribution, processing linear functional constraints on the distribution.

The proposed approach relies on a quantitative notion of uncertainty and the minimum cross-entropy principle (Cross-Ent), commonly used in information theory and signal analysis.

The principle of minimum cross-entropy provides a systematic approach to derive the posterior distribution of a random variable given a prior and additional information in terms of its product moments.

Applications include the generation of multivariate skew-t and t copula samples and models' comparison through the principle of minimum cross-entropy, here revised for the application to multivariate samples.

The principle of minimum cross-entropy (ME-principle) is often used as an elegant and powerful tool to build up complete probability distributions when only partial knowledge is available.