weighted entropy

  • 释义

    加权熵

数据更新时间:2026-08-21 15:14:14
1、

fuzzy weighted entropy for multi-level threshold medical image segmentation

基于模糊加权熵的医学图像多阈值分割

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2、

The system adopts Gordian technique of several content-based image search engine, such as regional weighted entropy which is applied to image feature extraction, R tree multidimensional indexing structure, and so on.

该系统采用区域加权信息熵方法提取图像特征、R~树多维索引结构,等基于内容图像搜索引擎关键技术。

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3、

Based on the theory of rough set, a new Nave Bayes method named Conditional Information Entropy-based Algorithm for Self-learning Nave Bayes ( CIEBASLNB) was proposed, which combined the merits of selective Nave Bayes ( SNB) and Weighted Nave Bayes ( WNB).

根据Rough Set的相关理论,提出了基于条件信息熵的自主式朴素贝叶斯分类方法,该方法结合了选择朴素贝叶斯和加权朴素贝叶斯的优点。

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4、

grey relational analysis model based on weighted entropy and its application

基于熵权的灰色关联分析模型及其应用

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5、

This thesis aims to explore new ways of image database index technique of content-based image search engine after regional weighted entropy is applied to image feature extraction.

本文将区域加权信息熵应用于图像特征提取,探索基于内容图像搜索引擎图像库索引技术新途径。

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6、

The band width of error entropy donut can be determined by weighted average error entropy of all line segments.

误差熵环的带宽取构成边界线的各线段误差熵的加权平均值。

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