1.The results show that each index has different functions on evaluating the diversity of a phytoplankton community. In general, integrated using of species richness, Margalef index, Fisher α index, Shannon index, Simpson index (1-D form) and Pielou index were fit for analyzing the phytoplankton community. But it should be cautious to use Margalef and Fisher α index in analyzing the phytoplankton community.
对于一般情况下浮游植物群落多样性的研究,物种丰富度、Margalef指数、Fisherα指数、Shannon指数、Simpson相遇指数和Pielou指数的综合使用是较合适的,但对Margalef指数和Fisherα指数的结果要谨慎解释.
2.To categorize documents hierarchically according to their topics,the thought of Fisher linear discriminant is utilized to get positive feature words and negative feature words in each category, and the algorithm of a hierarchical document categorization is given based on Fisher linear discriminant (HDCF).
将文档按照主题进行层次分类,利用Fisher线性判别式的思想来提取每一类的正特征词和负特征词,给出基于Fisher线性判别式的层次文档分类算法(HDCF)。
3.The paper applies the EGARCH model and the Cornish-Fisher expansion model into the VaR separately, which (investigates) the relationship between expect returns and risk in ShangHai and ShenZhen stock market. The study (demonstrates) that the Cornish-Fisher expansion model, which combined heterodasticty, can modify the common way which computer the VaR only by volatility.
分别运用EGARCH和Cornish-Fisher扩展的VaR模型对中国深、沪股市的期望收益率与风险进行了实证比较研究,发现结合异方差的Cornish-Fisher扩展的VaR模型与仅用波动率描述的VaR计量方法比较,具有较好修正作用;
4.(2) In KPCA+CCA method, CCA is performed in KPCA transformed space to extract the nonlinear optimal Fisher discriminative features of face image, which is equivalent to the kernel Fisher discriminant analysis (KFDA) in nature due to the equivalence between KFDA and KPCA+LDA.
(2)利用KPCA将高维人脸图像样本映射到特征空间得到核主分量,然后对核主分量进行CCA。 由于KPCA+FLDA等价于KFDA,因此提出的KPCA+CCA方法可得到等价于KFDA的非线性最佳Fisher鉴别特征。
5.The Gabor-fisher classifier (GFC) method for face recognition applies the enhanced fisher linear discriminant model (EFM) to an augmented Gabor feature vector derived from the Gabor wavelet representation of face images.
本文介绍了Gabor-fisher classifier分类器(GFC)人脸识别方法,利用该方法首先对面部图像进行Gabor小波处理,再对得到的增广Gabor特征向量应用增强线性辨别法模型(EFM)以得到辨别特征,该方法对于人脸图像在光照和表情变化的情况下仍然是有效的。
6.(6) This paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, Fisher discriminant analysis, and the generalized optimal set of discriminant vectors. Two standard databases from Yale University and Olivetti research laboratory are selected to evaluate the recognition accuracy of the proposed method.
(6)提出了一种只要一个训练样本就能解决人脸识别问题的新方法，该方法结合了特征矩阵、Fisher最优鉴别分析和广义最优鉴别分析方法的优点。
7.On the basis of analysis of modeling method of PLS, regarded response variate as 0-1 variates, a novel DPR algorithm based on PLS is set up in this paper. It has moreadvantages than Fisher discriminant analysis and Bayes discriminant analysis, such as simplicity and robustness, clearly qualitative explanation;
在对偏最小二乘(PLS)回归算法分析的基础上，把反应变量看作0-1变量，进而提出了一种新的基于PLS的数字模式识别算法，该算法较Fisher判别分析、Bayes判别分析具有较高的识别性能，且具有简单、稳健、易于定性解释等优点；
8.POSTERIOR FISHER INFORMATION RATIO AND POSTERIOR LIKELIHOOD DISTANCE OF SOME BIASED ESTIMATES
若干有偏估计的后验Fisher信息比和后验似然距离统计量(英文)
9.To solve this model, the bosonization is introduced by Kane and Fisher.
为了解决这个模型，Kane和Fisher引入了玻色化方法。
