多维运算

The method can not only overcome high probability of misrecognition due to numerous Tibetan characters, but also solve the low arithmetic speed owing to plenty feature vector dimensions.

该方法在一定程度上克服了藏文字丁极多而造成的误识率高的缺点，并且解决了由于特征向量维数较多造成的运算速度慢的问题。

For more information on bit shifting, view Wikipedia's explanation of Bitwise Operation

欲了解更多有关移位，认为维基百科的资料，按位运算的解释

Events,Operation and Relation of Sets, Classical Probability, Geometrical Probability , Statistical Stability of a Frequency, Axioms of Probability, Conditional Probability, Total Probability Theorem, Bayes' Rule,Independent Events,Independent Repeated Trials, One Dimensional Random Variables, Discrete Random Variables, Distribution Function of a Random Variables , Continuous Random Variables, Normal Distribution, Distribution of a Function of a Random Variable, Multidimensional Random Variables, Joint Distribution Function, Marginal Distribution Function,Discrete Two—Dimensional Random Variables,Continuous Two—Dimensional Random Variables, Independent Random Variables, Distribution of Functions of Random Variables,Expectation,Variance, Covariance, Coefficient of Correlation, Bivariate Normal Distribution, Law of Large Numbers, The Central Limit Theorems, Sample and Population ,Chi—Squared, T and F Distributions , Sampling Distributions , Point Estimation , Interval Estimation , Testing Hypotheses , A Test of Significance for Parameters in a Single Sample From a Normally Distributed Population , A Test of Significance for Parameters in Two Sample From Normally Distributed Populations .

本课程的主要内容：概率的概念与运算、随机变量及其分布、随机变量的数字特征与极限定理、数理统计的基本概念、估计和检验的基本方法，随机事件与概率随机事件、事件的关系与运算、几何概率、统计概率等，条件概率、全概率公式、贝叶斯公式、事件的独立性、二项概率公式，随机变量的概念、离散型随机变量、随机变量的分布函数、连续型随机变量、随机变量函数的分布，多维随机变量及其分布函数、边缘分布函数、随机变量的独立性、二维随机变量函数的分布，数学期望、方差、协方差和相关系数、大数定律、中心极限定理，总体与样本， X 2-分布、 t-分布和 F-分布，统计量及抽样分布，假设检验的基本概念、单个正态总体参数的显著性检验、两个正态总体参数的显著性检验。

Because the number of characteristic particles is greatly less than the number of whole particles,the problem ...

因为特征粒子的数量较粒子总数大大减少，该方法能避免直接将Monte Carlo方法应用于多机器人定位中产生的维数灾的问题，可以在保证精度的情况下降低运算复杂度。

A complete set of image processing and recognition of the source code This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many.

详细说明：一套完整的图像处理与识别的源码这是我们内部开发与使用的一套图像处理代码，里面包括了大部分图像处理与识别处理的的函数：像模板变换，图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等，等等，太多了。

Instead of multidimensional nonlinear search or iterative computation, the algorithm just uses a one-dimensional search and can reduce the computation burden.

算法的波达方向估计只需一维谱峰搜索，避免了通常多参数联合估计的多维非线性搜索及迭代运算，可明显减小算法运算量。

In this paper algorithms based on wavelet packets for multiresolution data fusion are proposed, which are efficient and highly parallelizable. So it avoids big matrix computations, and also has effective performances without assuming wavelet coefficients to be white noises.

本文研究了小波变换的特性，提出基于小波包变换的多分辨率多传感器数据融合算法，算法不需要把小波系数当成白噪声处理，并且能够有效地降低向量和矩阵维数，减少运算，有较好的滤波性能。

This method is based on tensor and tensor algebra. To utilize the multidimensional data of the remote sensing image, the vector-based learning machine is generalized to the tensor-based learning machine which accepts tensors as input, then the convex optimization theory and the alternating projection procedure are used to get the solution of the TLM.

该方法基于张量数据模型和张量代数运算，针对遥感影像数据多维或高维的特点，将基于向量的监督法学习机扩展为基于张量的监督法学习机，然后利用凸函数最优化理论和交互投影迭代法求得张量学习机的最优解。

After the characteristics of elevation data in planning base map are analyzed,the article chooses polyface meshes to mimic 3D topograph model in which the interpolation algorithm ,weighs is used to adjacent distance, is adopted .

在分析规划底图中高程数据特点的基础上，选用AutoCAD的多面网格对象，采用近点按距离加权算法来进行插值运算，建立三维地形模型；通过纹理映射法在AutoCAD的渲染程序中加以实现，生成逼真的三维实景

According to the distribution feature of floral envelope, the distance between petals to calculate translucent shadow distribution was used. 3-D space question was changed to 2-D space question thought many times mapping and many buffer zone.

花瓣的间距基于图像空间实现，通过多次投影将三维空间的运算转化为二维问题，使用多缓冲区记录花瓣间的关系，最终实现半透明花朵的可视化三维图形。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。