Row only includes accounts with dimensionality.
行只包含有维度的账户。
That's why it's called the blessing of dimensionality.
这就是我说的来自高维度的恩赐。
He credits such success to “the blessing of dimensionality.”
他把这一切归功于“来自高维度的恩赐”。
A novel method for dimensionality reduction of kernel matrix is presented.
提出了基于聚类的核矩阵维度缩减技术。
Feature selection and feature extraction are common methods for dimensionality reduction.
特征选择和特征抽取是维数约简常用的两种方法。
But the dimensionality of the original face image is too high to use LDA method directly.
但人脸的原始特征空间维数很高，无法直接利用LDA方法提取分类特征。
The challenge of data mining is dealing with the dimensionality of the data and the volume of it.
数据挖掘所面临的挑战在于数据的维数及其容量。
The principal component analysis can estimate the intrinsic dimensionality of the hyper-plane.
主成分分析能有效估计这一几何体的本征维数。
In this paper we present an improved dimensionality reduction method based on support vector machines.
提出了一种基于支持向量机的改进的降维方法。
O 'conner thinks that the first contradiction theory of Historical materialism lacks natural dimensionality.
奥康纳认为，唯物史观的第一重矛盾理论缺乏自然维度。
My paper works have been based around an exploration of the relationship between two and three dimensionality.
我的论文作品都是基于一个两，三个维度的关系探讨。
So one expression common in the data mining community is 'the curse of dimensionality,'" says Venkatasubramanian.
因此在数据挖掘界广为流行着一个名词——‘维数灾难’”文卡如是说道。
However, in the mid-90s a group of mathematicians devised a technique for reducing the dimensionality of complex data sets.
然而，上世纪90年代中期有一组数学家设计出了一种方法，能够对复杂的数据集进行降维。
Effective dimensionality reduction could make the learning task more efficient and more accurate in text classification.
在文本分类中，有效的维数约简可以提高学习任务的效率和分类性能。
The trick is to find an arrangement of springs that "flattens" the data set, or in other words, reduces its dimensionality.
而诀窍就是找到一个弹性阵列，能够将非单调的数据集“变成单调数据集”，或者换言之，就是降维。
Feature selection has proven to be an effective means when dealing with large dimensionality with many irrelevant features.
特征选择在处理具有较多不相关特征的高维数据上已被证明是一种有效的手段。
Multidimensional scaling is a powerful tool for dimensionality reduction in the field of pattern recognition and data mining.
多维尺度分析是模式识别与数据挖掘领域一个有力的降维工具。
The model selection principle of determining effective number of dimensionality reduction for different clusters is proposed.
并提出了针对不同类簇判断有效降维维数的模型选择准则。
Such technique pursues, through the study of the eigenvalues, the reduction of the dimensionality in the representation space.
这种方法是通过对特征值的研究，追求表征空间的维数压缩。
The mapping table does not allow you to change the dimensionality of the lists in the input structure to match the output structure.
映射表不允许您更改输入结构中列表的维数来匹配输出结构。
Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.
电力系统是一个多时间尺度的大规模非线性系统，其稳定性分析非常复杂。
Domain-dictionary based text representation can enhance the ability of text feature expression and reduce the feature dimensionality.
基于领域词典的文本特征表示方法可以增强文本特征表示能力。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
In this problem the maximum dimensionality is 10 and the minimum dimensionality is 1. The maximum number of boxes in a sequence is 30.
在这个问题中最大的维度是10，最小的维度是1。最大的盒子序列长度为30。
Relations between interband transitions and harmonic oscillator model, and between optical properties and dimensionality are discussed.
文中讨论了带间跃迁与振子模型，光学性质与维度性之间的物理联系。
By using the lowering dimensionality expansions, we construct boundary type cubature formulas with the algebraic precision for integrals.
借助降维展开公式，我们对积分构造出具有代数精度的边界型求积公式。
Then, according to the dimensionality of harmony, we define the organizational harmony in the aspect of spirit, system, conduct and material.
进而以和谐维度为依据，将一个组织的和谐，定义在物质、制度、行为、精神四大要素层面之上。
Dimensionality reduction algorithms, as the key technologies of data preprocessing in intelligent recognition, have been used successfully recently.
近年来降维方法作为智能识别中关键的数据预处理技术得到了较为成功地运用。
With the growth of data in volume and dimensionality, it has become a very challenging problem to build a high-efficient classifier for large databases.
随着数据集的数据量和维数的增加，建立高效的、适用于大型数据集的分类法已成为数据挖掘的一个挑战性问题。
With the growth of data in volume and dimensionality, it has become a very challenging problem to build a high-efficient classifier for large databases.
随着数据集的数据量和维数的增加，建立高效的、适用于大型数据集的分类法已成为数据挖掘的一个挑战性问题。
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