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feature space相关的网络例句

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与 feature space 相关的网络例句 [注:此内容来源于网络,仅供参考]

The nonlinear mapping is realized by modelling the Local Generative units in the input space and a Global Affine transformation in the feature space.

这个非线性映射是由在输入空间中建立局部生成单元模型并且在特征空间中构建全局仿射变换来实现的。

A new fusing facial feature recognition algorithm based on kernel Canonical Correlation Analysis was proposed,for mapping image data into feature space and improving classifying accuracy.

为了更有效地映射图像数据样本到可分类特征空间,提高分类正确率,提出了一种新的基于核函数的典型相关分析的融合人脸识别算法。

To improve tone recognition accuracy,discriminative training in both the model space and the feature space is proposed.

这些方法可概括如下:首先从区分性训练的角度研究了基于隐马尔可夫模型的声调建模方法。

Now, there are many aspect that is one of factor space, such as, the state space of modern control theory, feature space and parameter space in model identify.

现代控制论中的状态空间,模式识别中的特征空间和参数空间,现代物理中的相空间等都是因素空间的特殊情形。

Moreover, in IDDT diagnosis, the conception of fault feature curve and feature space is proposed to diagnose the fault in the analog and mixed-signal circuit.

此外,对动态电流故障诊断算法提出特征空间和特征曲线的概念,以实现对动态电流信号中的故障信息的有效提取。

An inductive learning method for classification based on information theory is proposed, which is a maximum contribution classification method according to the theory of channel transmission in information theory, the definition contribution is developed based on probability distribution of classified space, probability transfer matrices of classified space and feature space and mutual information, then entities is classified by the maximum contribution method.

提出了一种基于信息论的归纳分类学习算法-最大贡献分类算法。该算法根据信息论中信道传输的理论,把类别空间和各特征空间的概率转移矩阵以及互信息结合起来,定义了贡献的概念,从而得出了对给定的观测值,用它的最大贡献作为对实体进行分类的规则。

In combination of rough set theory and the distribution information of the land cover spectral feature space,a spectral feature neighborhood based tolerant rough set classification method is proposed to handle the uncertainty in the process of satellite remote sensing data classification.

结合粗糙集理论和遥感数据中地物光谱特征空间分布信息,提出了一种基于光谱特征邻域的容差粗糙集分类方法,用来处理卫星遥感数据分类中的不确定性问题。

In the feature space,the divergences on two classificational distributions are only dependent on the two characteristic vectors,i.e.,maximun and minimum in feature values,and their varying values depend upon the declinations of the aforementioned two ...

在特征空间上两类分布的分离度只依赖于特征值最大和最小的两个特征向量,且其大小依赖于上述两个特征值与某个定值的偏差。

With rotational invariance of circle, image was divided into different sectorial sub blocks in polar coordinates, and the sum of regional pixels was taken as sector eigenvalue. Then a normalized feature space by norming sector feature set was got.

以圆的旋转不变特性为基础,在极坐标下将图像分割为不同的扇形子块,并将各子块区域灰度和作为表示扇形子块的特征,然后对子块特征集进行归一化,所得的归一化扇形特征集作为特征选取的空间。

This paper presents a Double Kohonen Neural Network lased on the Self-Organize Feature Mapping theory to analyge chomosome automatiolly. The DKNN consists of two layers, each of which is a Kohonen network. The first layer maps a 2-d plane to a 2-d feature space to extract the high-resolution bands of chromosome and to compute the parameters of bands. The second layer maps the arrays of high dimension feature parameters to a 2-d plane to pair and classify the chromosomes automatically.

应用自组织特征映射神经网络原理与方法,建立了双层Kohonen神经网络,其第一层是从二维图象平面到二维特征平面的映射,用于染色体高分辨率带纹的提取和带纹参数的计算,第二层是高维特征参数阵列到二维聚类平面的映射,用于同源染色体的自动配对和分类。

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