一个非常重要的问题是询问模板函数，这些形式上的模板参数会被类型集合正确的取代，而不仅仅是STL算法。
One very important question to ask about any template function, not just about STL algorithms, is what the set of types is that may correctly be substituted for the formal template parameters.
基本理解XPath表达式、模板的匹配方式和xslt递归算法之后，就可以创建简短的可维护的转换。
A basic understanding of XPath expressions, how templates are matched, and XSLT recursive algorithms will result in the creation of small, easy, and maintainable transforms.
Sitebricks模板中的表达式就像JSP那样简洁，但却通过一个类型推断算法进行静态的类型检查。
Expressions in Sitebricks templates are just as concise as JSP, but are statically type-checked using a type-inference algorithm.
TemplateMethod模式建议，应当将公共模板代码移到继承层次结构之上，将算法细节推迟到子类。
The Template Method pattern suggests that I should move common boilerplate code up the inheritance hierarchy, deferring algorithmic details to child classes.
在匹配跟踪算法中，模板更新策略是跟踪成败的关键。
Template update method is the key of the success of the matching and tracking algorithm.
另外一个办法是在多遍渲染中使用模板缓存的算法来控制场景中那些部分将被投影纹理更新。
Another way is to use the stencil buffer in a multipass algorithm to control what parts of the scene are updated by a projected texture.
模板更新能够使得观测值的获得更可靠，因而提高了算法的鲁棒性。
Template update enable to get more credible observation, so improve the robustness of algorithm.
模板匹配法技术是汉语声母识别中较为成功的算法，但它的缺陷影响了其恢复错误、改善识别性能。
Conventional template matching technique is a successfully used algorithm in Chinese consonant recognition, yet its disadvantage limits its recovery of error, improvement of performance.
提出了一种基于模板匹配的快速人脸定位算法。
This paper presents a fast and reliable face location algorithm based on template matching.
该算法通过计算冲激噪声的位置和幅值来确定中值滤波的模板大小。
In this algorithm, the position and magnitude of the noise are detected to compute the size of the template of the median filter.
SSDA算法(序贯相似性检测)是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法。
The sequential similarity detection algorithm (SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.
文中提出了新的用于多种形式数学模型发现推理的组合模板匹配方法和误差判别切换算法。
In this paper, the new combination sample match method and error criterion switch algorithm using to discover the different form of mathematics model are presented.
该算法根据运动矢量的中心分布特性设计了相应的匹配搜索模板。
Matching search patterns are designed in the algorithm based on the center-biased characteristics of motion vector distribution.
该算法利用积分投影法预测人脸可能的范围与位置，然后在限定的范围内采用模板匹配的方法定位人脸，从而实现了快速且可靠的人脸定位。
The algorithm firstly detects the sphere and possible location of a face through integration projection and then realizes the precise location of the face within the sphere.
模板匹配算法是字符识别中最常用的一种算法。
Templet matching arithmetic is the most ordernary arithmetic for character recognition.
首先分别给出了单模板算法和多模板优化算法的理论推导；
First, the single-template algorithm and the multi-templates optimization algorithm are derived.
提出图象的角点位于该矢势图的鞍点和基于模板匹配的鞍点检测算法，并给出实际的角点检测结果。
The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
本文提出了一种解决目标跟踪中模板漂移现象的新算法。
We propose an algorithm addressing the problem of template drift in object tracking.
该算法用模板法进行提取特征，这种方法更易操作，提取特征的效果也好。
The arithmetic USES template method to extract feature, making operation more easily and result of extracted feature better.
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.
提出了一种基于自适应模板的快速相关跟踪算法。
A new algorithm of correlation tracking based on adaptive template is proposed.
利用模板匹配算法获取焊缝中心位置。
The position of seam center was got with template match algorithm.
提出了一种用于超分辨率复原的分离方法，并引入了级联模板算法。
A method of super resolution image restoration based on separation was proposed and the algorithm of adnate template was introduced.
传统的模板匹配算法计算量大，匹配速度慢。
In the traditional template matching algorithm, complicated calculations cause a slow matching speed.
分析研究了一种新的增加运动预测的模板匹配算法，并将其应用到战车火控系统中。
In this paper, a novel template matching algorithm based on motion prediction is studied, which could be applied to the combat vehicle fire control system.
本系统对传统的信息过滤系统进行了自适应改进，通过修改过滤模板算法，让系统根据用户的反馈信息，自适应地调整阈值，达到提高过滤质量的效果。
This system has adaptive improved the tradition information filter system by modifying the arithmetic of filter template. It can change the threshold adaptive according to user's feedback.
最后运用模拟退火算法选取合适邻域模板对目标点的强度进行MAP估计。
Finally simulated annealing algorithm is used to get appropriate template, the MAP estimate of the object pixel intensity can be achieved.
结合模板匹配算法的识别实验得到的识别率为98.9%。
The experiments with template matching algorithm were performed, and the results show that the recognition rate is 98.9%.
采用“变分辨率模板匹配算法”和“字符结构特征法”进行字符识别。
Finally proposes model match with different resolution and configuration characteristic algorithm to recognize the character.
采用“变分辨率模板匹配算法”和“字符结构特征法”进行字符识别。
Finally proposes model match with different resolution and configuration characteristic algorithm to recognize the character.
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