nonlinear discriminant
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美
网络 非线性判别; 非线性判|别式
双语例句
- But, in this method, the kernel within-class scatter matrix is always singular, and thus how to extract the optimal nonlinear Fisher discriminant features remains unsolved.
但是，针对必然面临的奇异性问题，如何抽取非线性最优鉴别特征还没有得到很好的解决。 - Face Recognition based on Nonlinear DCT Discriminant Analysis
基于非线性DCT鉴别分析的人脸识别 - As a nonlinear classification method, Fisher discriminant analysis based on nonlinear mapping ( NM-FDA) is presented.
提出一种非线性分类方法&基于非线性映射的Fisher判别分析（NM-FDA）.首先提取基向量； - Applying the concept of the kernel function in the supporting vector machine, the nonlinear classification problem in the original space was transformed to the linear classification problem in the feature space by the kernel mapping, and the uncorrelated discriminant vectors set was solved in the feature space.
应用了支持向量机中核函数的思想，通过核映射将原空间的非线性分类问题转化为特征空间的线性分类问题，然后在特征空间进行无相关鉴别矢量集的求取。 - As for the discriminant analysis on nonlinear manifold, a geodesic Gabriel graph based local discriminant merging approach was proposed.
针对位于非线性流形上类别数据的判别分析问题，提出了一种基于测地Gabriel图的局部判别器融合算法。 - The screening of predictors in nonlinear discriminant function
非线性判别函数中预报因子的逐步筛选方案 - A Fast Kernel-Based Nonlinear Discriminant Analysis Method
一种基于核的快速非线性鉴别分析方法 - Nonlinear statistical process monitoring and fault diagnosis based on kernel Fisher discriminant analysis
基于核Fisher判别分析方法的非线性统计过程监控与故障诊断 - Although kernel-based Fisher discriminant analysis ( KFDA) has became one of the most effective techniques for nonlinear feature abstraction, it can only obtain one discriminant vector when solving the problem of classification between two class.
核Fisher鉴别分析（KFDA）已成为抽取非线性特征的最有效方法之一。 - Based on the equivalence between canonical correlation analysis ( CCA) and Fisher linear discriminant analysis ( FLDA), nonlinear discriminant features of face images are extracted with kernel CCA.
基于典型相关分析和Fisher线性鉴别分析的等价性，提出了利用核典型相关分析来抽取小样本人脸图像的非线性鉴别特征，并用其进行脸像鉴别。 - A Nonlinear Discriminant Analysis Method: The Globes Piling Method and Its Application
一种非线性判别方法&堆球法及其应用 - Nonlinear and Uncorrelated Discriminant Feature Extraction Technique Based on Image Matrix
基于图像矩阵的非线性不相关鉴别特征抽取技术 - The Nonlinear Discriminant Function in Weather Prediction
天气预报中的非线性判别函数 - This article analyses the problems in adopting the linear discriminant function in weather typing prediction. According to Bayes's criterion we discuss the discriminant function when covariance matrixes are not equal to each other, which is called "nonlinear discriminant function".
本文针对天气分类预报中采用线性判别函数所遇到的问题，讨论了在协方差矩阵不相等时基于Bayes准则的判别函数，我们称之为非线性判别函数。 - Mechanical fault classification using nonlinear discriminant analysis
基于非线性判别分析的故障分类方法研究 - After giving a detailed development history and main characteristics of face recognition, this thesis attempts to solve the small sample size problem based on nonlinear Fisher discriminant analysis and radial basis function neural networks classifier.
在详细分析人脸识别的最新研究进展和主要特点的基础上，本文试图用基于Fisher鉴别函数的非线性特征提取方法和径向基神经网络分类器解决这两个问题，以便提高人脸识别的正确率。 - So it not only preserves the local neighborhood information, but extracts the nonlinear discriminant characteristics for effective classification. The experimental results on Yale face image database show that the proposed method is effective. 2.
因此，该方法不仅保留了数据的局部邻域信息，而且能够抽取更有利于分类的非线性鉴别特征。在Yale人脸数据库上的实验验证了该算法的有效性。 - The basic idea of color image kernel holistic orthogonal analysis is that in the nonlinear high dimensional kernel space it can in turn extract discriminant feature of color image components and make the discriminant vector sets mutually orthogonal.
彩色图像核整体正交鉴别分析方法的基本思想是在非线性高维核空间依次提取各彩色分量的鉴别特征同时满足鉴别向量集之间相互正交。 - The nonlinear discriminant feature extraction algorithms and the discriminant feature extraction algorithms based on the frequency domain analysis are studied explicitly. Especially the nature of the two kinds of discriminant feature extraction algorithms is analyzed.
其中对非线性鉴别特征提取算法和频域分析下的鉴别特征提取算法进行深入分析，重点研究了这两种鉴别特征提取算法的性质。 - In this paper, a novel method for extracting nonlinear discriminant features is presented based on kernel idea, which is named as kernel optimal transformation and cluster centers algorithm ( KOT-CC).
基于核化原理，提出一种非线性鉴别特征提取方法：核最优变换与聚类中心算法。 - It is not able to extract the nonlinear feature of samples. We propose kernel-based unsupervised discriminant projection which takes account both the local characteristics and nonlocal characteristics of samples. It can also describe the nonlinear change of the face effectively.
本文提出一种基于核方法的无监督鉴别投影，它将样本的局部特性和非局部特性相结合，并能够有效地描述人脸图像的非线性变化。 - To solve the problem that the face samples are nonlinear embedded in the original sample space, a novel face recognition algorithm called Local Fisher Discriminant Analysis ( LFDA) is proposed in this paper.
为解决人脸样本在原始样本空间的非线性流形嵌入问题，本文提出了局部Fisher判别分析（LFDA）算法。 - But some researchers suggest that the face images may reside in nonlinear manifolds, and Principal Component Analysis and Linear Discriminant Analysis that are based on Euclidean space can not explain the nonlinear manifold structure, thus the feature extracted are not optimal for classification.
但是有研究表明人脸图像其实是存在于一个非线性流形结构中，因此基于欧氏空间的主成分分析和线性判别分析无法揭示人脸图像的非线性流形结构，即所提取的特征对分类并不是最优的。 - For nonlinear processes, a Recursive Kernel Fisher Discriminant Analysis ( RKFDA) strategy is proposed for the nonlinear fault diagnosis. 3.
针对非线性较强的间歇过程，提出了递推核Fisher判别分析（RKFDA）的故障诊断方法，有效的实现了非线性过程的故障诊断。