目的研究适于心搏分类的突出特征矢量。
Objective To investigate pertinent features fitting for beat classification.
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。
In machine learning, the data is often represented as a vector, sometimes called a feature vector.
本文提出了一种利用象素块特征矢量的块匹配算法。
A block matching algorithm using block feature vector is proposed.
研究基于速度特征矢量提取运动目标的图像分割方法。
An image segmentation method based on the velocity feature vector of moving target was proposed.
由于主特征矢量排出的矩阵阶数较低，也不会出现伪峰。
The matrix arranged by main eigen-vector possesses lower dimensions, so no pseudo peak will appear.
构造了系统增广特征矢量，实现了其系统动力响应的精确分析。
Accurate analysis of system dynamical response is achieved by constructing a system augmented eigenvector.
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。
Then ANN was used for automatic conversion of the power quality signals the feature vectors.
特征矢量的正交性是用模态方法求解多体系统动力响应的前提条件。
In multibody system dynamics, the orthogonality of eigenvector is the precondition to solve the dynamic response of system using the classical modal analysis methods.
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。
During learning, a set of feature vectors is given to the algorithm, each vector labeled with the class the object it represents, belongs to.
本文提供求实矩阵全部特征值及部分特征矢量的一个富有成效的算法。
This paper provides an efficient algorithm for finding all the eigenvalues and partial eigenvectors of a real matrix.
为了计算项目集的支持度，提出了数据库特征矩阵和特征矢量的概念。
To calculate the support of an item-set the authors define characteristic matrix and characteristic vector of debase.
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。
This paper introduces a newly generalized and dynamic structure for the similarity retrieval of high dimensional feature vectors called the recursive clustering index tree.
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。
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.
在附录中还列出特征值与特征矢量的一般求法，以资与正文所述相对照。
In the appendix, the general method of finding eigenvalue and eigenvector is stated for reference.
本文给出实时求解正定矩阵最小和最大特征值对应特征矢量的神经网络模型。
This paper presents a neural network approach to computing the eigenvectors corresponding to tae largest and smallest eigenvalues of a positive matrix.
为了提取包含丰富特征信息的特征矢量，本文提出了一种新的特征重叠抽取技术。
A novel method of overlap feature extraction technology is be proposed to pick-up feature vector which has rich information.
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。
Together with the ratio of the (silhouette's) height to width, the gait feature vectors are constructed to identify different subjects.
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。
Secondly, we sorted the feature vector by dictionary, and located the tampered region by utilizing the displacement vectors of image blocks.
根据累积量和主运动方向提取出3维特征矢量，采用贝叶斯分类器进行烟雾的检测。
A 3d feature is extracted from the accumulation and main motion orientation, and a Bayesian classifier is used for smoke detection.
利用多体系统增广特征矢量的正交性条件，可建立以系统物理参数为未知数的代数方程组。
By using the orthogonality condition of augmented eigenvector of multibody system, the algebraic equation group with unknowns of structure parameter is formed.
重点介绍了图像的代数特征抽取以及作者关于奇异值特征矢量作为图像的一种代数特征方面的研究工作。
The algebraic feature extraction of images and the authors' research work on singular value vectors as a kind of algebraic features of images are emphasized.
通过矩阵运算，证明了奇异值特征矢量在图像做缩放变换时具有不变性，并将这种性质运用于图像匹配。
By matrix operation, the invariance of image singular value vector about the reducing and enlarging transformation is proved, and this character is applied to the image matching.
该方法实质上是将目标的决策分布图作为特征矢量，将其和每类目标的决策模板进行匹配以实现融合识别。
In essence it takes the decision profile and decision template as target's feature vector and template respectively, and adopts template matching method to target recognition.
分析和实验结果表明：若采用动态时间规正算法(DTW)，识别时间与特征矢量长度的平方成正比关系。
Both analysis and experiments show that the recognition time is proportional to the square of the length of the feature vector, if dynamic time warping (DTW) algorithm is employed in recognition.
该算法通过检测临界带特征矢量参数的距离变化确定初始分段边界，结合动态规划方法提高分段的准确性。
The initial segment is determined by detecting the distance changes of the critical feature parameter vector. With the dynamic programming method, the segmental accuracy is improved.
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。
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.
识别完成最后的分类，这个过程将前面提取出来的特征矢量用分类器进行分类，通过决策函数得到最后的分类结果。
Recognition completes the classification which classifies the above-mentioned character vector by classifier which gets the final result by decision-making function.
先从语音信号中提取待识别的特征矢量集，再利用矢量量化来设计码本，最后用改进的算法对待识别语音进行辩识。
Firstly, feature vectors are extracted from speech signal, secondly, vector quantization is utilized to design code book, and lastly, improved method is used to recognize the speech signal.
所接收的混合信号首先被映射到高维的内核特征空间，和由内核特征空间上的适应度函数给出的特征矢量的基础构造。
The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis given by the fitness function of the kernel feature space is constructed.
所接收的混合信号首先被映射到高维的内核特征空间，和由内核特征空间上的适应度函数给出的特征矢量的基础构造。
The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis given by the fitness function of the kernel feature space is constructed.
应用推荐