自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
这就使得有可能使用这种元数据对多种资产包--包括部件、服务、实现模式、模板等--进行分类，储存和追溯。
This makes it possible to use this metadata to classify, store, and retrieve many kinds of package assets, including components, services, pattern implementations, templates, and so on.
创建的模板可以放入分类，如果你保存了很多的话就可以比较容易的找到。
Templates that you create can also be put into categories to make them easier to find if you have a lot saved.
本文向您介绍了如何通过用户定义的模板、角色和权限、UI透视图和分类系统自定义WebSphereServiceRegistry andRepository。
This article showed you how to customize WebSphere Service Registry and Repository through user-defined templates, roles and permissions, UI perspectives, and classification systems.
下面是TurboGears expose中与分类HTML模板有关的两个样例控制器方法。
Below are two sample controller methods associated with the category HTML template through the TurboGears expose decorator.
有关与SalesTeam模板关联的文档分类的例子，请参见图3。
See Figure 3 for an example of the document taxonomy associated with the Sales Team template.
模板使用了TemplateToolkitFOR 循环来遍历（未分类的）照片（如果需要进行分类，最好在 Template Toolkit 环境之外使用 Perl代码完成这个操作）。
The template uses a Template Toolkit FOR loop to iterate over the images, unsorted (if you need sorting, it's better to have the Perl code do it outside the Template Toolkit environment).
在UML 2.0中的模板机制受到一些容易理解的案例的限制如：分类器，操作，和包。
The template mechanism in UML 2.0 was restricted to cases that were well understood: classifiers, operations, and packages.
为了简化内容和模板的创建过程，请在启动开发工作之前确定分类指导原则。
To facilitate content and template creation, decide on the taxonomy guiding principles before starting development work.
确定类别分类之后，我们将创建两个基本的内容模板，LP _ Template和DocumentTemplate。
After determining the category taxonomy, we build two basic content templates, LP_Template and DocumentTemplate.
模板(stereotypes)是一种对模型的元素进行分类的方法。
因为我们仍然保留着原来的模板，那些使用原模板的页面不会被影响，所以我们将来仍可以使用分类文章列表方式来呈现文章页面。
So we can still use the Category List layout for Menu Items that use the original template.
文中提出一种基于自然语言理解的语义模板算法解决网上文件分类过滤的问题。
This paper proposes the Semantic Template Algorithm based on natural language understanding, implements the filtration and classification of Internet documents.
分析了方位区间中基准图像的选取及对准过程对模板生成和目标分类的影响程度。
The selection of the reference image in azimuth interval is discussed, and the influence of the alignment on template training and target classification is discussed too.
基于人工神经网络和模板匹配，提出了对低信噪比神经元信号分类的方法。
A method to classify neural spikes under low signal-to-noise ratio was investigated by using artificial neural networks and template-matching.
系统采用了一种新型的带有可变区域模板的ECG拍分类器用于提高ECG分析结果的质量；并且通过优化软件设计提高了其他方面的性能。
A new ECG pattern classifier with Variable Area Template is applied to improve the quantity of ECG analysis results, while the optimized software design ensures the other performances.
在用户建模中，采用用户属性对模板进行分类和匹配，并且基于领域知识体系结构定义模板的内容。
In user modeling, model stereotypes were classified and matched according to user properties and template contents would be defined based on domain knowledge architecture.
本文总结了目前提出的可能的模板剂作用机理，并加以分类讨论，以对分子筛合成过程提供指导。
The possible mechanisms of the effect of the templates on the formation process have been summarized in order to guide the later studies.
通过计算不变特征矩阵和模板特征矩阵的相关性对目标进行分类识别。
The targets are classified and recognized by calculating the same correlation of the characteristic matrix and the template features matrix.
这是以往的模板匹配算法和特征分类算法所不能达到的。
The precision is higher than those of the existing template matching algorithms or characteristic extraction algorithms.
计算样本图像的LBP直方图和模板的LBP直方图之间的度量，并由此构建弱分类器集。
The Chi square distance between corresponding LBP histograms of sample image and template is used to construct weak classifiers pool.
分析了多分类器融合算法的理论框架，并采用决策模板算法对蛋白质结构类的预测问题进行了研究。
We investigate the theoretical framework of multiple classifiers fusion, and apply the decision template algorithms to classify the protein secondary structural classes.
该分类方法避免了样本训练和模板匹配，分类速度快。
The speed of the classification is fast without the sample training or pattern matching.
现存的图像跟踪算法主要分为基于模板匹配的算法，基于运动信息的算法，基于滤波的算法和基于分类的算法。
The existing image tracking algorithms can be categorized into four classes: model matching based method, motion information based method, filtering based method and classification based method.
然后由基于数字规范化模板特征的分类器对前一级分类器的拒识样本分类。
Then, the classifier based on the normalized template feature is applied to the samples rejected by the former.
然后由基于数字规范化模板特征的分类器对前一级分类器的拒识样本分类。
Then, the classifier based on the normalized template feature is applied to the samples rejected by the former.
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