• These 3d modes with similar shape have similar feature vectors.

    形状相似的3d模型,它们的特征向量也相近。

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  • Three-valued feature vectors based fingerprint matching algorithm is proposed.

    提出了基于三值特征向量的指纹匹配算法。

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  • Feature vectors are extracted from the re-organized DCT coefficients, and clustered.

    在重组的DCT系数中提取特征向量,并对其进行聚类。

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  • Reducing the high dimension of feature vectors is an essential part of text categorization.

    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。

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  • Then ANN was used for automatic conversion of the power quality signals the feature vectors.

    利用ANN对输入特征矢量进行识别,完成电能质量的自动分类。

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  • The purpose of feature extraction is to obtain feature vectors of few number and low error probability.

    特征提取的目的是获取特征数目少且分类错误概率小的特征向量。

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  • In high frequency region, the radar range profiles are chosen as feature vectors for target recognition.

    高分辨距离象是高频区雷达目标识别的最基本的依据。

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  • The aim of image pre-processing and feature extracting is to get feature vectors from tire-code characters.

    整个识别过程包括字符定位、图像增强、字符倾斜校正、单个字符分割、归一化处理和特征选择与提取。

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  • The feature vectors extracted by this method are repeated and stable, and they differentiate the normal and the diseased effectively.

    构造的特征向量具有较好的重复性与稳定性,可以较有效地区分正常人与心脏病人。

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  • Experimental results show that the latter one has advantages on retrieval rates, retrieval speed and storage room for feature vectors.

    实验结果表明:后者具有较高的检索率、较快的检索速度和较少的特征向量数据库存储空间。

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  • Together with the ratio of the (silhouette's) height to width, the gait feature vectors are constructed to identify different subjects.

    最后将这些面积特征和人体的宽高比特征一起构成步态特征矢量用于训练和识别。

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  • In order to explain and calculate the image semantics, the feature vectors and the semantic partition are constructed in structure related.

    从高级信息的角度来描述图像语义,建立图像语义的特征矢量空间和语义划分的结构关系,实现图像与语义值的结构表达。

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  • During learning, a set of feature vectors is given to the algorithm, each vector labeled with the class the object it represents, belongs to.

    在学习过程中的算法中给定的特征矢量,每个矢量标记为一个分类。

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  • We often use high-dimension feature vectors to achieve this goal, however, the large amount computation will make exhaustive retrieval infeasible.

    三维模型的特征一般用高维的特征向量表示,但是这会带来更多的计算量,从而使耗尽型搜索变得不可行。

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  • In a speaker identification system, training speaker models is computationally expensive, especially when the dimension of feature vectors is large.

    在说话人识别系统中,通常训练说话人模型需要很长的时间,特别当说话人特征的维数很高时。

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  • The extraction of effective feature vectors and pattern recognition are the key technique in the subject of mechanical condition monitoring and diagnosis.

    有效特征向量的提取和状态识别是设备状态监测与故障诊断领域中的关键技术。

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  • Two new flame feature vectors are defined: one is the flame detection context based dynamic feature row and the other is the optimal flame feature area vector.

    算法定义了两种新的火焰特征向量:火检上下文动态特征切入列,火焰特征最优区域。

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  • Eventually, the compatibility between the generated rules and patterns was used to construct a set of feature vectors, which were used to generate a classifier.

    最后,通过计算规则和模式之间的兼容性指标来构造特征向量,构建支持向量机的分类器模型。

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  • 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.

    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。

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  • Traditional statistical method cannot deal with feature vectors with so high dimensions efficiently, but SVM (Supported vector Machine) could resolve this problem.

    传统的统计方法不能够有效的处理如此高维数的特征向量,但是支持向量机就能够解决这一问题。

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  • By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.

    通过时间序列分析建立反映切削状态的数学模型,从动态数据中凝聚信息,构成用于判别的特征向量。

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  • It can effectively increase the compactness of the feature vectors of genuine signatures, and therefore enlarge the distance from the feature vectors of forgery ones.

    利用它对签名样本的动态信息时间序列进行校正,可以提高签名特征向量在特征空间上分布的聚拢性,拉开真、伪签名特征向量在特征空间上的距离。

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  • Pressure signal and vibration signal of valves are fused, and RBF neural network is used to diagnose fault by the information feature vectors constructed in this method.

    该方法将气阀的压力信号和振动信号特征进行信息融合,再通过RBF神经网络进行故障诊断。

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  • The way, which is to determine the number of clustering by the distance between the image feature vectors, could provide more accurate retrieval result in a shorter time.

    而通过图像特征向量之间的距离来确定聚类个数的方法,能在较短的时间内提供较为准确的检索结果。

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  • Using different feature vectors, the effect of the vocoders differs on speaker dependent continuous speech recognition and speaker independent connected digits recognition.

    对于特定人连续语音识别系统和非特定人连接词识别系统,在使用不同的特征矢量时,不同编码器产生的识别效果有比较大的差异。

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  • This paper introduces a newly generalized and dynamic structure for the similarity retrieval of high dimensional feature vectors called the recursive clustering index tree.

    文章提出了一种新的适用于高维特征矢量相似检索动态聚类索引树结构。

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  • In addition, the protein can be represented as other feature vectors based on amino acid composition (AAC), weighted auto-correlation function and Moment descriptor methods.

    另外,蛋白质序列还可用其它特征提取方法提取的特征向量来表示,如氨基酸组成成分、加权自相关函数和矩描述子。

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  • It applies the concept and association expansion to text feature vectors in order to reduce the relevant degree of terms and enhance the ability to represent the text theme.

    其基本思想是:对于文本特征向量进行概念扩充,减少特征项之间的相关性,增强特征项的表现能力。

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  • According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.

    该方法将振动信号小波包分解后的频带能量作为特征向量,输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。

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  • According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.

    该方法将振动信号小波包分解后的频带能量作为特征向量,输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。

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