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.
提出了直接截取和DT W规正两种方法来解决语音样本特征向量长度不一致的问题。
For the length of feature vectors of speech samples is different, direct cutting and Dynamic Time Warping (DTW) regulation, are put forward to solve the problem.
文章针对此不足，将样本的幅度作为样本特征分量的办法，对传统的ART2网络进行了改进。
Based on this, the article improves classical ART2 network by taking amplitude as character component.
解决了应用SVM识别算法对遥感矿化信息提取过程中输入样本特征向量（微弱信息样本）的构造问题。
Through SVM algorithm, solving the building problem of input sample feature vector (weak information sample) in the process of extracting mineralizing information from RS data.
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.
我们将会看到一些代码样本，它们阐述了如何使用页面导航特征来执行在门户环境中转换的多个Struts模块。
We will look at code samples that illustrate how to perform multiple Struts module switching in a portal environment using the page navigation feature.
因此，位于内罗毕的世界农林中心已经着手对10万份非洲土壤样本的辐射特征以及相应的耕种潜力进行分类整理了。
As a consequence, the World Agroforestry Centre in Nairobi has begun cataloguing the radiation signature-and thus agricultural potential-of about 100, 000 samples of African soils.
这项新技术将允许科学家对更多化石的化学特征进行研究，而不用在取样本的过程中破坏化石。
The new technique will allow scientists to study the chemistry of more fossils, without having to damage them by removing samples.
此外，该研究只是基于一个受过良好教育的年轻人样本，作者强调，需要对其他特征和年龄段的人群进行研究。
In addition, this was a well-educated sample, and the authors stress the need for research in other demographics and age ranges.
但是，我们可以指定一个客户，让他在整个产品开发周期内反复检查这些特征的可用性（要求、原型、样本）。
Rather, the approach is to designate a customer who reviews each iteration's deliverable (requirements, prototypes, demos) throughout the development lifecycle.
相反地，公开的特定特征和动作是实现所声明主题的样本形式。
Rather, the specific features and acts are disclosed as sample forms of implementing the claimed subject matter.
作者使用比例训练的BP算法，提出对训练模式进行样本重组的方法，其特点是训练速度快、特征抽取能力强。
A scale training algorithm of BP neural network is used, and sample reorganization method is proposed. Its advantage is the fast training speed and good feature extraction ability.
进而，分析了决策单元在样本可能集中的分布特征、投影性质和模型含义等问题。
Furthermore it analyzes decision making unit's feature of distribution, projection property and model definition in the sample possible set.
等距特征映射(ISOMAP)不仅计算复杂度很高，而且缺乏对新样本的学习能力。
Isometric Feature Mapping (ISOMAP) not only has high complexity but also can not learn new samples.
基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。
The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.
基本思想是通过非线性变换，使样本变换之后的特征空间中变得线性可分。
Basic idea is to adoption of non-linear transform, so that after changing the characteristics of the sample space become linearly separable.
目的：应用视频压力式步态分析系统检测和分析小样本正常学龄前儿童的步态特征。
AIM: gait characteristics in children of normal pre-school age of small sample is detected and analyzed by the visual press gait analysis system.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
用半线性马氏过程的样本轨道和特征直接给出其局部时的构造。
In this paper the local time for semilinear Markov processes are described with their sample paths and their characteristics.
利用所提出的特征，采用适合小样本分类问题的支持向量机(SVM)对足球视频镜头分类。
Support vector machines (SVMs) which suit to classification problem for tiny samples is designed for different shot types through the features extracted by the method.
加权样本如果回复率相等，那么会提供有用信息的具有不同人口统计特征的个人。
The number of individuals in different demographic groups who would have provided usable information if response rates were equivalent. See sample weighting.
通过自组织竞争网络的聚类特征，改善样本训练对BP网络性能的影响。
The effect of samples training on BP neural network performance with the clustering characteristic of self-organizing competitive network is improved.
目的：以德阳市为样本，研究颅脑交通伤的流行病学特征。
Objectives:To research on the epidemic characteristics of craniocerebral injuries caused by traffic accidents in Deyang.
对参数特征值估计和可信区间的诠释都是得出样本数据推论的路径。
Point Estimates of parameters and Confidence Interval Interpretation are both means for making inferences about sample data.
对于二维任意的两类特征样本进行分类，特征提取的好坏直接影响到分类器设计和性能。
To distinguish different sample, feature extraction directly influences the design and performance of the classifier.
几何特征的加入使得小样本训练的粗分类器的应用成为现实，提高了眼睛检测的精度。
Then with the characteristics of symmetry of the eyes some of the geometric characteristics are adopted for correction .
结果：通过一定量样本的学习训练，舌型特征的识别准确率接近90%。
Results After a certain amount of sample study process, the accuracy of tongue shape recognition was about 90%.
以谱图表列数据或曲面拟合参数为放电样本的特征量。
The tabulated data or surface fitting parameters of these patterns were used as characteristic vectors.
通过样本采集、特征抽取、支持向量机训练得到最终的人体目标识别分类器。
Human objects recognition classifier is obtained through samples collecting, feature abstract and SVM training.
训练样本与测试样本分别朝融合特征空间投影，从而得到识别特征。
After training samples and test samples are respectively projected towards the fusion feature space, recognition features are accordingly gained.
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