Reverse nearest neighborRecently, an effective improvement of linear discriminant analysis (LDA) called L2-norm linear discriminant analysis via the Bhattacharyya error bound estimation (L2BLDA) was proposed in its adaptability and nonsingularity. However, L2BLDA assumes all samples from the same class ...
读音:美英 英汉翻译近义词典英英词典发音词典 Bhattacharyya中文翻译 巴特查里亚 Bhattacharyya是什么意思网络解释 巴氏; 巴氏指标; 距离 词组短语 1.Bhattacharyyadistance巴特查里亚距离;巴氏距离;bhattacharyya距离 2.Bhattacharyyalower bound巴塔恰里亚下界 3.NikhileshBhattacharyya巴塔查耶 ...
Tanaka, H., Location and scale parameter family of distributions attaining the Bhattacharyya bound, Communications in Statistics - Theory and Methods, 35, 9 (2006), 1611-1628.Tanaka H. Location and scale parameter family of distributions attaining the Bhattacharyya bound. Commun Stat A-Theor 2006,...
5)Bhattacharyya lower boundBhattacharyya下界 1.Moreover,it reachBhattacharyya lower bound.从Cramer-Rao信息不等式出发,详细地证明了当T(x)是g(θ)的无偏估计且满足T(x)-g(θ)是1 L/L θ,1 L2/L θ2,L的线性函数时,T(x)的方差可以达到Bhattacharyya下界,并给出实例。 6)distance[英]['d?st?ns][...
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εm foreach item i that it returns. Our algorithm uses O(ε −1 logφ −1 +φ −1 logn + loglogm) bits of space, processeseach stream update in O(1) worst-case time, and can report its output in time linear in the output size.We also prove a lower bound, which implies ...
BHATTACHARYYA BOUND OF VARIANCES OF UNBIASED ESTIMATORS IN NONREGULAR CASESBhattacharyya bound is generalized to nonregular cases when the support of the density depends on the parameter, while it is differentiable several times with respect to the parameter within the support. Some example is ...
In this paper, we propose a novel two-dimensional Bhattacharyya bound linear discriminant analysis (2DBLDA). 2DBLDA maximizes the matrix-based between-class distance, which is measured by the weighted pairwise distances of class means and minimizes the matrix-based within-class distance. The ...
Bhattacharyya boundunbiased estimatorBhattachayya bound is generalized to nonregular cases when the support of the density depends on the parameter, while it is differentiable several times with respect to the parameter within the support. Some example is discussed, where it is shown that the ...
In this paper, we propose a novel linear discriminant analysis (LDA) criterion via the Bhattacharyya error bound estimation based on a novel L1-norm (L1BLDA) and L2-norm (L2BLDA). Both L1BLDA and L2BLDA maximize the between-class scatters which are measured by the weighted pairwise ...