between class distance 中文意思是什麼
between class distance
解釋
類間距離-
For this problem, a separating hyperplane is designed with the principle of maximizing the distance between two class centers, and a novel support vector machine, called maximal class - center margin support vector machine ( mccm - svm ) is designed
為了解決這個問題，本文以兩個類中心距離最大為準則建立分類超平面，構造一個新的支持向量機，稱作類中心最大間隔支持向量機。 -
The third class markets had nine, for example nanqiema market and nangao market and etc. the markets of the fourth class included 13 markets. based on it, the chain functions between market area and annual total turnover, annual total turnover and annual agricultural byproducts turnover, annual agricultural byproducts turnover and the influence distance of markets were put forward
建立了欒城縣集貿市場面積、年總成交額、年農副產品成交額與菜地質量影響范圍之間的互算函數關系，通過市場面積、年總成交額、年農副產品成交額三者之一便可確定集貿市場影響范圍，從而提高了函數模型的可操作性。 -
Based on the resources, this paper further points out that the role orientation of the teachers and the fulfillment of their role - transformation mechanism in different listening and speaking activities help create the listening and speaking atmosphere in class, motivating the students and shortening the distance between teachers and students so as to improve their english listening and speaking ability
在此基礎上，本文進一步指出了英語聽說課授課教師角色的定位及其在不同課堂活動中的角色轉換機制的實現有利於營造聽說課的「聽說」氣氛、調動學生的主動性和積極性並縮短師生之間的距離，從而提高學生的英語聽說能力。 -
First classifier chooses two classes whose matching distance between it and paper currency is bigger than others from all class. then in the second stage, we extract some new feature and improve the classifier to generate the last result. in the stage of defect detection for paper currency, we advances a homogeneity based algorithm for the detection of scratch and cracks appearing on paper currency, in which the homogeneity feature of the sensed paper currency image is first constructed to locate the pixels that probably been polluted, the image registration algorithm is subsequently used to overlay the sensed and reference paper currency image
在特徵提取中，我們對基於方向塊的特徵提取方法進行了分析，在此基礎上針對美元特點，對圖像方向塊的劃分方式做了研究，並提出了基於幾何距離的特徵提取方法;在分類器設計中，我們採用了lvq網路對紙幣進行學習與分類，並提出了一種具有兩層結構的分類演算法，第一層首先對輸入的特徵向量進行粗分類，選定與特徵向量匹配距離最大的兩類幣種，進入第二層分類器;在第二層分類器中，我們通過研究進入該模塊兩類幣種特徵塊的相關性，重新設計了特徵向量，同時對分類器進行改進，最終實現對紙幣的分類。 -
It redefines the between - class scatter by adding a weight function according to the between - class distance. therefore, it can separate the classes as much as possible. at the same time, it projects the between - class scatter into the null space of the within - class scatter that contains the most discriminant information
新方法重新定義了樣本類間離散度矩陣，在原始定義的基礎上增加一個由類間距離決定的可變權函數，使得在選擇投影方向時，能夠更好地分開各個類的樣本。 -
Eigenpalms based feature extraction is designed according to the rule of in - class distance and between - class distance
基於特徵手的掌紋特徵提取演算法是根據類內類間距離準則而設計的特徵提取演算法。 -
At the same time, we consider the reconstructed ermrs of a test sample in two spaccs : the between - class eigenmotion subspace and the within - class eigenmotion subspace, which are used as the classifier rule, in contrast to the traditional methods such as euclidean distance or mahalanobis distance in one subspace. experimental results show that this method outperforms the eigenface method in the presence of facial expression variations
在特徵運動的基礎上，我們還提出了同類特徵運動空間和異類特徵運動空間兩個子空間的概念，並且分析測試樣本在這兩個子空間的重建誤差，以此作為分類標準，而不是簡單地考慮在一個子空間里歐氏距離或者馬氏距離。
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