sub-pattern
英 [sʌb ˈpætn]
美 [sʌb ˈpætərn]
网络 子模式
复数：sub-patterns
双语例句
- You can set the feature values of an annotation by assigning a sub-pattern of the regular expression rule a match group to the feature.
通过把正则表达式规则的子模式（匹配组）分配给特性，可以设置注解的特性值。 - For each choice listed on the dialog, the part of the regular expression that defines the sub-pattern is displayed in bold.
对于这个对话框中列出的每个选择，以粗体显示定义子模式的正则表达式部分。 - Pattern recognition based on structural sub-pattern presentation of multivariate graph
基于多元图结构子模式表示的模式识别方法 - Evaluation method for capability of sub-pattern in two-dimensional Fisher linear discriminant
二维Fisher线性判别中子模式性能的一种评价方法 - Study on Multiple Sub-pattern Image Representation and Retrieve Methods Based on NAM
基于NAM的多子模式图像表示和检索方法研究 - Mining Time Series Frequent Sub-pattern based on Pattern Representation can enormously increase the efficiency and veracity of mining, and get twice the result with half the effort.
在时间序列的模式表示的基础上挖掘其频繁子模式，可以大大提高挖掘的效率和准确性，达到事半功倍的效果。 - Adaptively Weighted Sub-pattern PCA and Its Application in Face Recognition
自适应加权子模式主分量分析及人脸识别应用 - In this model, the optimal reservoir operation model is regarded as main pattern and the power plant optimal operation model is regarded as sub-pattern.
该模型以水库优化调度模型为主模块，以水电站厂内优化运行为子模块。 - Deformation Sub-pattern Recognition and Separation Based on Independent Component Analysis
基于独立分量分析的变形子模式识别与分离 - Time Series Frequent Sub-pattern Mining Based on Pattern Representation
基于时间序列的模式表示挖掘频繁子模式 - Based on the previous research work, adaptively weighted sub-pattern PCA ( Aw-SpPCA) is proposed and successfully applied to the task of face recognition, and then a native face recognition system based on Microsoft.
在已有工作基础上，本文提出了自适应加权子模式主分量分析方法（Aw-SpPCA），成功地将此应用于人脸识别，并最终构建了一个基于。 - The advantages and difficulties of global-pattern approaches and sub-pattern approaches in machine recognition are discussed and the main factors affecting their performance are analyzed.
由此可把汉字的机器识别方法归纳为整模式法和子模式法两个大类，对它们的有利方面和困难方面进行了讨论；对影响其性能的因素进行了分析； - Moreover, the intrinsic manifold structure of the sub-pattern sets can also be preserved in our method.
通过SPP算法，我们可以在保持各个子模式集合的非线性流形结构的同时保持每个输入样本内在结构。 - Furthermore, the contribution of each sub-pattern can be adaptively computed by Aw-SpLPP in order to enhance the robustness of the proposed method.
此外，为了增强算法的鲁棒性，采用一种自适应的方法计算每个子模式对于识别的权重。 - Experiments are carried out in the ear database, ORL face database and iris database which show that this evaluation method can effectively choose the preferable sub-pattern, and shorten the calculation time to about 1/ 4 of the conventional choosing method.
实验结果表明，该评价方法能有效的选取较优子模式，并能够将计算时间缩短为常规选择方法的近1/4。