查询词典 vector density

Based on the oil-water flow rate and density obtained with a double-U Coriolis flow meter, and by the help of Support Vector Machine, a direct prediction method of the oil-water respective mass flow rate was developed to avoid the need of study on the complex relation between the slip velocity, water hold up and water fraction.

以双U型Coriolis流量计得到的油水混合物的质量流量和密度为基础，提出了基于支持向量机油水分相质量流量的直接预测方法，避开了直接对滑脱速度、持水率与含水率等之间复杂关系的研究。

So Bell inequality and Entropy inequalitycorrespond to distance-related inequality;while partial energy transpositiontransformation and partial time-reversal transformation correspond to thechanges of certain geometrical parameter in vector expression of density matrix;and directly perceivable language description is available in entanglement region.

部分转置变换和部分时间反演变换对应于密度矩阵的向量表示中某些几何参数的改变，而纠缠区域更是可以有直观的语言描述。

Starting from the polarization matrix and propagation equation of the cross-spectral density matrix, a detailed study of the influence of hard-edge aperture on the spectral switch of polychromatic vector Gaussian-Schell model beams is performed.

从偏振矩阵和交叉谱密度传输公式出发，分析了硬边光阑对多色矢量高斯－谢尔模型光束轴上光谱开关的影响。

Present a new LVQ wavelet image coding algorithm in which entropy coding and enumeration codes of different length are utilized. For wavelet image coding, there is a problem of mismatch between lattice distribution and the input vector probability density function in traditional LVQ algorithms (such as product-code pyramid VQ and piecewise uniform LVQ).

提出一种使用熵编码和非等长枚举码的格点矢量量化算法用于小波图象的编码，该算法以格点标记码码长的变化来适应输入矢量的非均匀分布，解决了传统的乘积码塔形矢量量化和分块均匀格点矢量量化算法中格点的调整难以与输入矢量概率分布实现良好匹配的问题。

After studying the theory of combined signal processing with acoustic pressure and particle velocity, a method of direction estimation underwater, which is based on intensity measurement using an acoustic vector sensor, is presented. In the low frequency field with kinds of line-spectra, azimuth angle estimation is achieved based on the probability density statistics and bar graph approach. It can preferably resolve the problem of left/right bearing resolution and estimate the direction of space.

为了对水下目标进行定位，基于声压与振速联合信号处理的理论，研究了复声强法对水下目标信号的定向技术，并使用概率统计和直方图的理论对目标的方位角和俯仰角值进行了估计，在线谱分量存在的低频段对估计角度进行了概率统计，较好地解决了左右舷的分辨问题，实现目标的全空间无模糊定向。

Constrained by the triangle constraint integrated with the conventional epipolar geometric constraint, the local continuity constraint is enforced by changing the constraint areas dynamically according to the local texture density. 3 The topographic structure extraction and analysis based on grid DEMs are investigated in this dissertation, the topographic structure extraction approach fills depressions by adopting vector processes combined with traditional neighborhood raster processes, assigns flow direction over flat by applying a neighbor-grouping scan method.

2提出了一种基于核线影像对和良好匹配点三角形局部连续性约束和顺序约束下的影像匹配方法，该方法利用已知良好匹配点在Delaunay TIN的约束下进行纹理自适应的匹配传播，同时利用新的匹配点对Delaunay TIN进行动态细化使得局部几何约束区域的大小自动适应影像纹理特征的变化，从而得到更加可靠的影像匹配结果。

In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.

本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究，主要包括：首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法，改进了均值迁移方法步长取值保守的弱点，建立了快速均值迁移方法，证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法；进行了平面和3维随机分布数据集的最大概率密度搜索对比试验，试验结果表明，快速均值迁移方法大大减少了迭代次数；建立了基于快速均值迁移的目标跟踪方法，利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像，对人脸和汽车目标跟踪性能分别进行了对比试验，并进行了高噪声人脸图像目标跟踪试验，结果表明，基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能，具有很强的抗干扰能力；建立了一种新型彩色目标自动识别方法，采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算，建立了高效的搜索方法，实现了彩色目标的快速识别；将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合，建立了带有控制系统的快速目标自动识别与跟踪系统，并在不同场景下进行了目标自动识别与跟踪试验，验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。

Sect III : We use function of ERDAS8.5 which distill environmental factors from remote sensing image, and explore the relation between vector density and normalized difference vegetation index.

在指标替换中，我们运用了Co七opng，分析表明：媒介分布与发病地区呈现高度一致性，即媒介密度高的地区发病也高，且与NDVI有较强的一致性。

On the basis of the above, the bearing estimation property of vector sensor is discussed, including the probability density function and mathematical characteristic of bearing estimation, the influence of electrical rotation, bearing correction in the low SNR, the estimation method of SNR, the restriction of multiple targets bearing estimation, the postposition process and so on.

在此基础上，继续讨论单矢量传感器的方位估计性能问题，包括方位估计的概率密度函数及其数字特征、仿真、电子旋转产生的影响、低信噪比的方位纠偏、信噪比估计方法、多目标方位估计的局限、后置处理等内容。

From emulation fact check can see, through be based on a search mechanism density gets together kind supportive vector preelection is taken, training example number can reduce 2/3 above, rate of training of linear disjunctive data can be accelerated 12 times the left and right sides, nonlinear rate of disjunctive data training can be accelerated 5 times the left and right sides.

从仿真实验可以看出，通过基于搜索机制密度聚类的支持向量预选取，练习样本数目可减少2/3以上，线性可分的数据练习速度可加快12倍左右，非线性可分的数据练习速度可加快5倍左右。

A strange and mysterious deep sea creature.

一种奇异、神秘的深海生物。

It's a yellow rectangle .

这是黄色的长方形。