翻訳と辞書 Words near each other ・ Rankinia ・ Rankinia adelaidensis ・ Rankinian ・ Rankins Springs ・ Rankins Springs railway line ・ Rankinston ・ Rankinston railway station ・ Rankin–Cohen bracket ・ Rankin–Selberg method ・ Rankiriyagolla ・ Rankism ・ Rankit ・ RANKL ・ Rankl ・ Rankle & Reynolds ・ Ranklet ・ Rankmark ・ Ranko ・ Ranko Borozan ・ Ranko Bugarski ・ Ranko Despotović ・ Ranko Golijanin ・ Ranko Hanai ・ Ranko Krivokapić ・ Ranko Marinković ・ Ranko Markovic ・ Ranko Matasović ・ Ranko Moravac ・ Ranko Ostojić ・ Ranko Popović Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Ranklet ： ウィキペディア英語版 Ranklet In statistics, a ranklet is an orientation-selective non-parametric feature which is based on the computation of Mann–Whitney–Wilcoxon (MWW) rank-sum test statistics. Ranklets achieve similar response to Haar wavelets as they share the same pattern of orientation-selectivity, multi-scale nature and a suitable notion of completeness. Rank-based (non-parametric) features have become popular in the field of image processing for their robustness in detecting outliers and invariance to monotonic transformations such as brightness, contrast changes and gamma correction. The MWW is a combination of Wilcoxon rank-sum test and Mann–Whitney U-test. It is a non-parametric alternative to the t-test used to test the hypothesis for the comparison of two independent distributions. It assesses whether two samples of observations, usually referred as Treatment ''T'' and Control ''C'', come from the same distribution but do not have to be normally distributed. The Wilcoxon rank-sum statistics ''W''''s'' is determined as: : $W\_s=\backslash sum^N\_\backslash pi\_i\; V\_i\; \backslash text\backslash pi\_i\; =\; \backslash texti\backslash textV\_i$ = \begin 0 & \text\pi_i\in C \\() 1 & \text\pi_i\in T \end Subsequently, let ''MW'' be the Mann–Whitney statistics defined by: : $MW=W\_s-\backslash frac$ where ''m'' is the number of Treatment values. A ranklet ''R'' is defined as the normalization of ''MW'' in the range (): : $R\; =\; \backslash frac-1$ where a positive value means that the Treatment region is brighter than the Control region, and a negative value otherwise. ==Example== Suppose $T=\backslash lbrace\; 5,9,1,10,15\backslash rbrace$ and $C=\backslash lbrace\; 20,4,7,13,19,11\backslash rbrace$ then *$W\_s=\backslash Big\backslash lbrace\; 1+3+5+6+9\backslash Big\backslash rbrace\; =24$ *$MW=24-(\backslash times\; (5+1)/2)=9$ *$R=[9/[5\; \backslash times\; 6/2]]-1=-0.4$ Hence, in the above example the Control region was a little bit brighter than the Treatment region. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Ranklet」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.