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resample相关的网络例句

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与 resample 相关的网络例句 [注:此内容来源于网络,仅供参考]

Given a planar point set,the moving least squaremethod is adopted to denoise and resample it so that the resulting point set is with low noise and uniform sampling density.Then the reliable signed distance field of the preprocessed point set is constructed by using the Level Set method.Finally,an algebraic B-spline function is adopted to fit the signed distance field by solving a linear equation system.

首先给定一个表示封闭曲线、可能带有噪音且分布不均匀的平面点云,采用移动最小平方(moving least square,简称MLS)方法对点云去噪、重采样,得到一个低噪音、分布均匀的"线状"点云,再通过Level Set方法建立该"线状"点云的离散几何距离场,最后用一个代数B-样条函数光顺拟合该离散距离场,代数函数的零点集即为重建曲线。

Therefore, we need to resample the chroma values to achieve a 4:4:4 format.

因此,我们需要对色度值进行再采样,以达到4:4:4的格式。

Therefore, an explicit 3D differential migration algorithm based on a modified McClellan transform was proposed, which handles unequal sampling intervals in the inline and crossline directions and no resample is needed. The modified McClellan transformation matrix can directly image data from a square grid.

为此,提出了一种修正McClellan变换的三维显式差分偏移算法,即将插值嵌于外推算子中,无需对数据重采样,可以直接对矩形网格资料进行偏移成像。

A direct approach would create an oversampled version of the image in memory, and resample the completed image either to the frame buffer or as it is delivered to the screen.

最直接的办法是先在内存中创建一个过采样版本的图像,再将其绘制到帧缓冲区或屏幕。

This uniform resample of data points in rectangular region and fitting of piecewise smooth B-Spline surfaces are explored.

研究了矩形区域内数据点的重新均匀采样以及光滑分片B样条曲面的拟合问题。

With introducing the Proportional to Population Size Sampling technique into resample for the problem of specimen reconstruction effectiveness and rationality, a neural network ensemble method based on the PPS technique was proposed, which could improve the accuracy of individual network and the differences among individual networks; and a new dynamic selection approach of individual network in a neural network ensemble was put forward.

针对样本重组的有效性和合理性问题,将PPS抽样技术引入样本重构,提出了基于PPS抽样的集成神经网络算法,以提高个体神经网络的准确性与差异度,并实现动态选择个体神经网络的神经网络集成新方法。

A method of image compression based on optimum spatial resample was present.

给出了一种基于最优空间重采样模型的图像压缩算法。

Analysis of resample techniques reduces the sensitivity of the algorithm to noises.

对重采样的分析减少了算法对噪声的敏感。

It proposed a new way to resample time series based on residues.

提出一种新的利用误差项对时序数据样本进行BootStrap重抽样的方法。

It is a popular claim that we should scan at only even divisors like 75, 100, 150 or 300 dpi, and then resample the image to be smaller to get the final size.

这是一种流行声称要扫描只divisors甚至像75,100,150或300dpi,然后resample的形象会较少得到最终规模。

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