… Overlap Coefficients 32 We consider four different similarity measures (the overlap coefficients
(… λ, Weitzman’s measure ∆ and the measure based Kullback-Leibler divergence Λ. The …

… (OVL) represents the proportion of overlap between two … new overlap coefficient Λ based
on KullbackLeibler divergence and compare its performance to three known overlap coefficients…

… One can see that these distributions are not correlated (correlation coefficient = .01) and
mostly … to operational and variable parts have a substantial overlap. Therefore, μ g and μ h are …

… coefficients using the Laplacian distribution. The extracted feature from wavelet
coefficients … Each of the 512 x 512 images was divided into sixteen 128 x 128 non-overlapping …

… This paper first discusses the relationship between Kullback–Leibler information (KL) and …
, whereas the overlap rate between KI and SKI2 is 0.365. A higher overlap rate means that the …

… for different positions within the universal overlap region and Reynolds numbers based on
… universal overlap region. Within the range studied, the Gram–Charlier expansion coefficients …

The paper deals with testing the hypotheses for homogeneity and point null value of the
scale parameter in the gamma family. Tests suggested here are based upon the Kullback–…

… We employ the Kullback–Leibler divergence as a distance and find the best Gaussian …
The distributions of u(x), in (a), for the optimized ν rank 2 and the posterior μ overlap, but are …

… based on the Bhattacharyya coefficient has been presented [12], … A similarity measure based
on the Kullback–Leibler (KL) … of items i and j partially overlap, the difference between them …

… more overlaps … coefficients. This means that a speaker’s utterance forms a time series with
a length in the range of 7-29, and each point of the time series has 12 features (12 coefficients)…