weighted filtering

  • 释义

    加权滤波

数据更新时间:2025-11-14 15:47:34
1、

Traditional collaborative filtering algorithm is a weighted average prediction algorithm based on nearest neighbors'ratings.

传统协同过滤算法最后的预测值是用户最近邻评价的加权平均值,过于强调相似度的作用.

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2、

Time weighted collaborative filtering algorithms based on resources category

基于资源类的时间加权协作过滤算法

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3、

In addition, other key problems such as video temporal segmentation, color space selection and temporal filtering are discussed and an adaptive threshold video shot cut detection algorithm and a weighted median-filtering algorithm are presented as solution.

此外,本文还对视频时域分割、颜色空间选取、空域滤波等时空域分割要解决关键问题进行了探讨,并提出了一种自适应阈值切变镜头探测算法和加权中值滤波算法来解决这些问题。

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4、

Filtering is a basic operation in image processing and computer vision. Gaussian low-pass filtering is the most commonly used, and its principle is weighted average of neighborhood pixels value.

滤波是图像处理和计算机视觉中最基本的操作,高斯低通滤波是最常用的,其原理是邻域内像素值的加权平均。

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5、

A nonlinear tensor-valued weighted directional-distance filtering method is proposed for regularizing the diffusion tensor field produced by diffusion tensor magnetic resonance imaging.

为了正则化扩散张量磁共振成像所产生的扩散张量场,提出了一种非线性张量值加权方向距离滤波方法。

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