According to two dimension classification figure of pattern recognition, catalysts with various activities have been well predicted.
根据模式识别二维分类图，很好地预报了不同活性的催化剂。
Based on singularity of constraint equation and complex division of structure-parameter-space, the dimension classification method of planar mechanism was researched.
以位置约束方程奇异性条件和结构参数空间复形剖分方法为基础，研究了平面机构尺度分类问题。
A very helpful tool to define this dimension is a service classification system.
要定义这个维度，一个非常有用的工具是一个服务分类系统。
After simple statistics, the dimension can act as the input vector of ANN for PQ classification.
盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。
VC dimension plays a central role in the Statistical Learning Theory especially for classification problems.
在统计学习理论中，尤其对于分类问题，VC维扮演着中心作用。
This paper introduced a method availing autocorrelation functions to estimate the image fractal dimension, and the method can detect classification of the wood texture.
介绍了一种利用自相关函数来估算图像分形维数的方法，并将其应用到木材的纹理分类检测中。
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
Macroeconomics theory classification spends cent to be according to time dimension commonly short-term, long-term.
宏观经济学理论分类一般按照时间维度分为短期、长期。
Multiple discriminating features with similar contribution to classification are combined into one pattern, which is used as the basic feature dimension.
通过将对分类有相同贡献的文本特征词聚合，使用它们共同的分类贡献向量特征模式作为文本特征向量的基本维；
At first, the fractal dimension is extracted from the original image and special gray image for the rough classification, and then the multi-fractal dimension is used for further classification.
首先通过计算原始图像和特征灰度图像的分形维数实现第一次的粗分类提取，然后采用多重分形奇异谱方法进一步完成了细分。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
By translating feature values into fuzzy values, fuzzy classification can standardize features and allows the combination of features, even of very different range and dimension.
通过把特征值翻译为模糊值，即使对于不同的范围和维数的特征值组合，模糊分类能够标准化特征值。
Moreover, utilizing the local geometry during ONPE dimension reduction, a new classification method (ONPC) based on a label propagation method (LNP) is proposed.
同时，在ONPE算法的基础上，利用局部几何信息，提出了一种在低维空间中使用标签传递(lnp)的分类算法——ONPC。
Complexity of part variant design was formulated based on dimension constraint, and the complexity of part variant design was contrasted in the condition of before and after part classification.
提出了基于尺寸约束的零件变型设计复杂特性模型，比较了零件分类前后的变型设计复杂性。
Thus we solve the problems of the synonym and the multivocal word, and reduce the dimension of the characteristic space to a great extent, get the correct rate of more excellent classification.
从而解决了文本处理中的同义词和一词多义问题，在很大程度上降低了特征空间的维数，并且得到了较优的性能。
This standard is applicable to classification of steel products according to its production processes, shape, dimension, and surface.
本标准适用于按照生产工序、外形、尺寸和表面对钢产品进行分类。
The dimension of data can be reduced by feature extraction, and more meaning data about target can be got by feature extraction, which make target classification more exactly and effectively.
特征提取可以降低数据空间的维数，挖掘出能更有效的代表目标信息的数据，从而使目标的分类更加准确有效。
Then, inputting the two-dimension spectrum entropy into the SVM classification, the result shows that SVM has fine compute efficiency and classified ability.
进一步将二维谱熵作为支持向量机（SVM）分类器的输入量，结果表明SVM具有良好的分类能力和计算效率，可以满足在线监测的要求。
Experimental results show that this method can reduce the dimension of the classification data, and improve the classification accuracy.
实验结果表明，该方法能降低分类数据的维数，提高分类的准确率。
First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.
该方法首先对人耳图片进行预处理，然后采用改进的两级2dpca算法，进一步压缩提取的人耳特征维数，最后采用BP神经网络进行分类识别。
This method can reduce dimension of the feature and calculated amount, and besides it can increase the distance between the feature, this all contribute to a better classification result.
该方法可以有效地降低特征维数，降低了计算量，并且能够增大不同类别的特征间的距离，有助于实现更好的分类结果。
Parameters describing character of gray cast graphite morphology such as fractal dimension, roughness and regression coefficients were used to the classification.
用于描述石墨形态的特征由分形维、粗细参数和二维自回归系数共同组成。
The 17-dimension morphologic features of the stored-grain pests are compressed into 10 dimensions effectively and the classification efficiency is improved.
该算法有效地将粮虫的17维原始形态学特征降为10维，提高了分类的效率。
The research contents include high dimension feature vectors index, semantic video classification, relevance feedback, similarity measure of video clips and video content representation.
本文研究内容涉及特征索引方法、视频语义分类方法、相关反馈方法、视频片段的相似度量以及视觉内容特征的表示等问题。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace. In the end, classification …
最后，用模糊积分将子空间分类结果融合，得出最终类。试验表明本算法速度较快、精确度高。
Then dimension feature distance could be calculated and used to make a classification for the speech signal.
最后根据特征距离对语音信号类别进行决策分类。
The eight-dimension features have different effect in pattern classification process due to different characters.
由于每项特征的特异性不同，在模式分类中起到的作用也不同。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
We proposed a paper sheet defects classification method based on SVM according to its good performance in small data sets and high dimension feature Spaces.
根据支持向量机(SVM)在小样本、高维模式分类中具有的优良分类性能，提出将支持向量机应用于实际的纸张缺陷分类。
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