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A method of frontal face detection based-on feature extract using Gabor filter features and support vector machines is proposed in this paper.

本文提出了一种基于Gabor滤波特征和支持向量机的正面人脸检测方法。

The generalized deformation equations and the distribution function of branch vector are derived, and the mathematical characteristics of fabric tensor N are also discussed.

在此基础上导出了形变方程的一般形式,对技向量的分布函数进行了理论上的推导,还对组构张量N的一般数学特征进行了讨论。

Brain information trait ; support vector machines ; decision model ; personnel selection

脑信息特征;支持向量机;决策模型;人才选拔

By the analyses of different person and the same person with different expression and gesture, the number of principal component vector is determined properly under the attention to divisibility and workload.

首先对不同人以及同一个人的人脸图像进行主成分变换,然后根据得到的人脸图像类内及类间距离数值的变化结果,在充分考虑到其可分性和计算工作量的前提下,选择适当的主成分变换向量的个数并进行人脸图像的特征提取。

By Lagrange dual and scalarization of vector optimization, characterizations of solutions for which objective mapping satisfies weak convexity conditions are shown. The strongly and weak dual theorems for generalized subconvex-like mapping are obtained.

通过适当定义对偶问题和向量优化问题的标量化研究各解之间的关系,刻画目标映射满足弱凸性条件的优化问题解的特征,在目标映射是广义锥次类凸的条件下给出有关的对偶定理。

In traditional statistical pattern recognition theory,pattern features are usually represented as a numeric vector and can be considered as a point in an n dimensional Euclidean space.

传统统计模式识别理论中模式特征一般表示为一个数值向量,并被视作 n 维欧式空间中的一个点。

He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues.

然后,他开始与线性方程组,矩阵和高斯消去的讨论,并着手讨论向量空间,线性映射,标产品,决定因素和特征。

Using the fuzzy membership model based on support vector data description, the membership values to each input sample is computed according to its distance to the center of the hypersphere with minimal volume containing all objects.

利用一种基于支持向量数据域描述的模糊隶属度函数模型,根据样本到特征空间最小包含超球球心的距离来确定模糊隶属度。

Firstly, sample data stream by two neighbor windows of given length. Then the sampling data is projected to normalized high dimension feature space and the two minus hypersphere models of two window sampling data sets are constructed respectively. Finally, detect change by computing cosine of inclination angle of two centrals of hypersphere.

该算法首先以给定长度的两相邻时间窗口对数据流取样,然后以支持向量数据描述方法将这两相邻时间窗口取样的数据流子集映射到规范化的高维特征空间,并分别建立描述这两相邻时间窗口取样数据流子集映像的最小超球模型,最后通过计算两超球之间的球心矢量的夹角的余弦,度量该两相邻时间窗口取样数据流子集的相似性检测模式变化。

According to the each average value of Change Vector in six years, changes, intra-annual, inter-annual and interlocal, of winter wheat have been quantified. The result shows that the method of Change Vector Analysis is effective for monitoring the winter wheat growth as a new idea, which can integrate most of the feature factors of NDVI curve.

研究表明,变化向量分析方法能有效地从空间域和时间域反映东部五省冬小麦长势变化规律,以单一综合性指标综合了NDVI时间序列曲线的大多数特征参数,为农作物长势遥感监测提供了一种新的研究思路。

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