短时发布：以实现最小的可用特征集开始。
最后用神经网络的方法对所得特征集进行模式分类。
Finally, images can be classified by extracted feature sets using neural network.
发现特征集中存在大量高度重叠特征和高度偏差特征。
Found a large number of high-degree overlapped bigrams and high-degree biased bigrams existing in bigram feature set.
在得到特征集后，使用覆盖算法作为文本分类器进行学习。
After getting the feature set, USES cover algorithm as a text classifier to study.
采用它作为索引函数可以显著地提高特征集之间的匹配速度。
Using it as an index function, the matching speed between the feature sets can be obviously improved.
然后，我们将调用流中其他地方使用的功能和特征集中在一起。
Then, we clustered functions and features used elsewhere in the call flow.
对高维的特征集进行降维是文本分类过程中的一个重要环节。
Reducing the high dimension of feature vectors is an essential part of text categorization.
这可以保证特征集与图像之间的一一映射关系，避免伪造攻击。
That can ensure the one to one mapping relationship between the feature set and the image, and avoid the counterfeit attack.
首先，采集典型的包装图案样本，建立足够数量的样本特征集。
First, we must gather some typical samples and establish enough sample feature sets.
在机械故障诊断中，对机器状态信号进行处理可得到故障特征集。
Fault features set can be obtained by processing machine condition signal in machine fault diagnosis.
然而，在搜索或筛选时，通常必须按一组不同的特征集来引用某个元素。
Often, however, it's necessary to refer to an element by a different set of characteristics when searching or filtering.
本文要建立一个模型，实现挖掘目标的特征集与挖掘算法集合间的对应关系。
This paper will establish a model to realize mining features of a target set and mining algorithm the corresponding relationship between collections.
受灾过程特征集中表现为季风边缘区受灾环境对各种自然致灾因子的放大作用；
The hazard bearing environment in this area can intensify the influence of the hazards greatly, which is the main feature of the hazard bearing process here.
为得到高效的匹配结果，文中设计出一组易于识别且匹配正确率高的人工特征集。
The method depends on a set of manmade signs, which are easily identified and have high correctness rate of matching between corresponding them.
然后采用距离评估方法对特征集挑选敏感特征，将敏感特征输入支持向量机进行分类。
Assessment method using the distance-sensitive feature selection on the feature set, and then enters the sensitive features of support vector machine classification.
模型描述是基于约束的，故称为约束模型，并定义为满足一定约束关系集的特征集合。
The description is based on constraints and called constraint model, which is defined by the features that satisfy a definite constraint set.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
实验结果表明，该算法对肿瘤分型具有良好的识别率，且特征集合中仅包含54个特征基因。
Experimental results show that the proposed method can obtain better recognition rates in tumor classification and only 54 feature genes in the feature set.
如果你按照惯例，你需要选出相关特征集合，然后采用一个现有的分类器(见下面的连接)。
If you decide to follow the traditional path, you will need to decide about the set of relevant features, and then apply one of the existing classifiers (see links below).
梁启超对西方新闻观念解读的本土化特征集中体现在他的新闻自由观、报刊功能观、受众观方面。
Liang Qichao s domestic understanding of western journal concept can be seen in his views of the newspaper and magazines function, the freedom of press and audience etc.
在特征集的基础上，讨论了其参数导数的构成情况，用有限个点和函数表示了无穷个参数导数的情形。
Based on characteristic set, the case of infinity parameters is described by using of finite value and functions.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
正因为现代商业银行体制特征集中体现在现代公司制度上，所以需要用现代公司理论来研究国有商业银行体制再造课题。
It is because modern commercial banking system embodies mainly the modern corporation system that studying state-owned system remaking needs modern corporation theory.
它描述了如何使用USBHID协议来发现HID类设备的特征集与蓝牙设备能如何使用L2CAP层来支持HID服务。
It describes how to use the USB HID protocol to discover a HID class device's feature set and how a Bluetooth device can support HID services using the L2CAP layer.
用产生式方法描述优化聚合规则，用句子结构类和资源树描述语义与句子结构的对应关系以及用复杂特征集描述句法规则和词汇。
Sentence structure Classes and Resource Trees are adopted to depict syntax structure of sentences, which have similar semanteme. Complex Feature Set is used to describe dictionary.
一个表达学习算法可以再几分钟内为一个简单的任务学习一个很好的特征集合，对于复杂的任务，时间可能是几个小时到几个月。
A representation learning algorithm can discover a good set of features for a simple task in minutes, or a complex task in hours to months.
数值仿真和柴油机故障特征选择实验结果表明，新方法可以快速、有效地求得优化特征集，是求解特征选择问题的一个较好方案。
According to the results of data simulation and Diesel engine fault feature selection example, it is proved that this scheme can get optimal feature subset...
数值仿真和柴油机故障特征选择实验结果表明，新方法可以快速、有效地求得优化特征集，是求解特征选择问题的一个较好方案。
According to the results of data simulation and Diesel engine fault feature selection example, it is proved that this scheme can get optimal feature subset...
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