• In machine learning, the data is often represented as a vector, sometimes called a feature vector.

    在机器学习中,数据通常被表示为矢量,有时也称作特征矢量。

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  • Traditionally, objects are represented by vectors in a feature vector space.

    运用向量空间:传统地,对象被用特征向量空间中的向量来表示。

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  • The establishment of fault feature vector is a precondition to fault diagnosis.

    电机故障特征相量的确立是进行故障诊断的前提。

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  • Application of gray co-dimension feature vector is better than the gray co-occurrence vector.

    应用灰度共生-差分维数联合特征向量的识别结果要优于灰度共生纹理特征向量。

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  • An image segmentation method based on the velocity feature vector of moving target was proposed.

    研究基于速度特征矢量提取运动目标的图像分割方法。

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  • This method combines some features of face and ears, then forms the higher-dimension feature vector.

    该方法将人脸与人耳特征融合处理后,形成高维联合特征向量。

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  • Characteristic parameter is extracted, which can better reflect bridge structure state, combining it into the feature vector.

    提取出能较好反映出桥梁结构状态的特征参数,组合成特征向量。

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  • It constructs document feature vector of subject and Keyword separately by using a new method of document feature extraction.

    使用新的文档特征抽取方法构造了文档的主题和关键字特征向量。

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  • This feature vector made the Gaussian Mixture Model (GMM) classifier outperform MFCC and Differential MFCC features in classification.

    该混合特征使得高斯混合模型(GMM)分类器可获得比使用MFCC特征及其差分MFCC更好的分类性能。

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  • Each point is used to generate a feature vector that describes the local image region sampled relative to its scale-space coordinate frame.

    每一个点产生一个特征向量来描述关于其尺度空间坐标系的局部区域采样。

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  • Secondly, we sorted the feature vector by dictionary, and located the tampered region by utilizing the displacement vectors of image blocks.

    然后将特征矢量进行字典排序,并结合图像块的位移矢量,检测且定位出篡改区域。

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  • To solve the first problem, a spatially weighted LBP histogram is proposed to be the feature vector and a shadow removing method is introduced.

    为了解决第一个问题,本文提出用空间加权的LBP直方图作为特征并引入了阴影消除算法。

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  • The actual diagnosis result shows that the fault diagnosis is effective by using the fault signal feature vector and fault table and similarity theory.

    结果表明:利用故障信号的特征向量与故障特征表,通过相似性原理进行故障诊断是有效的。

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  • The extraction of effective feature vector and pattern recognition is the key technique in the process 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中的关键技术。

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  • Therefore, this article will take the signal energy in each frequency band as the feature vector to characterize the operation state of rolling bearing.

    因此本文接下来采用每个频带里包含的信号能量作为特征向量,来表征滚动轴承的运行状态。

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  • Then, we use the weighted feature vector as the qualitative criterion to establish different qualitative mapping models for different mails-to-be-tested.

    然后,以加权后的特征向量作为定性基准,为测试邮件建立不同的定性映射模型。

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  • In this paper, the identified parameter is used as feature vector of the load model cluster analysis; HCM and FCM are used as the classification algorithm.

    本文选用辨识参数作为模型聚类分析的特征向量,分别用HCM算法和FCM算法进行了分类研究。

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  • In order to solve these problems, we proposed a single feature vector recognition model based on whole time-frequency information structure of digit speech.

    为了解决这些问题,我们提出了基于数字语音时频信息整体结构的单特征向量识别模型。

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  • A new feature algorithm is proposed based on wavelet transform in HSI space to obtain a feature vector with combining information of color, texture and scale.

    提出了基于小波变换的HSI空间的彩色纹理墙地砖图像的特征提取新算法,得到具有颜色、纹理和尺度融合信息的特征矢量。

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  • We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.

    然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想,以及特征矢量的构成方式和归一化方法。

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  • The spectrum signal was pretreated and several key characteristic parameters were extracted and then a set of new feature vector was obtained by reducing the dimensions.

    首先对光谱信号进行预处理并抽取了多个关键性的特征参数,通过降维分析得到一组新的特征向量。

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  • The geometrical features that combine facial global features with local ones are chosen in this dissertation. And they are composed into a one-dimensional feature vector.

    本文选取人脸总体和部分相结合的几何特征,并组成一个一维特征矢量。

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  • A new approach is presented to calculate 3d skull spatial decomposition feature vector through using the orthogonal decomposition property of spherical harmonic transform.

    利用球面调和级数的空间正交分解特性,计算三维颅骨的空间分解特征向量,继而构造三维特征描述子。

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  • Grid feature vector, belonging to the wavelet decomposition sub graph which got by character image wavelet transform, is used to construct character wavelet feature vector.

    通过对字符图像的小波分解子图求取网格特征向量,构造出字符的小波特征向量。

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  • The result shows that, compared with the time-wavelet power spectrum, the scale-wavelet power spectrum has a higher recognition accuracy and smaller dimension of feature vector.

    结果表明,尺度-小波能量谱和时间-小波能量谱相比有较好的分类效果和较低的特征维数。

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  • Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.

    利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别,识别率在70%以上。

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  • Based on the mechanism of coal and gas outburst, we construct the prediction model of BP neuro-network and make the composite factor of the coal and gas outburst as the feature vector.

    从煤与瓦斯突出的机理出发,构建了多层BP神经网络预测模型,将煤与瓦斯突出的综合影响因素作为特征向量。

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  • Using statistical methods to calculate the Angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images, and construct them as a feature vector.

    用统计学的方法,等角度间隔地计算归一化步态轮廓图像各像素点至质心距离的均值与方差,并用其构造步态识别的特征向量。

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  • Using statistical methods to calculate the Angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images, and construct them as a feature vector.

    用统计学的方法,等角度间隔地计算归一化步态轮廓图像各像素点至质心距离的均值与方差,并用其构造步态识别的特征向量。

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