一个非常常见的,非常漂亮的成本函数是“交叉熵”(cross-entropy)。交叉熵产生于信息论里面的信息压缩编码技术,但是它后来演变成为从博弈论到机器学习等其他领域里的重要技术手段。
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cross entropy method 交叉熵算法 ; 电工理论与新技术
Maximum cross entropy 最大类间交叉熵
cross-entropy between two classes 类间交叉熵
cross-entropy loss 交叉熵损失函数 ; 或交叉熵损失
minimum cross-entropy 最小交叉熵 ; 最小交互熵
expect cross entropy 期望交叉熵
minimum cross entropy 最小交叉熵
Then,the cross-entropy function(CEF) based on image texture characteristic is proposed. CEF is used to evaluate a non-shadow pixel judged by CCF.
在此基础上,依据图像的纹理特征,将交叉熵函数引入算法,对互相关函数判断为非阴影点的像素,进行二次判断。
参考来源 - 运动人体阴影检测算法The method"s performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio.
并采用熵、交叉熵、互信息、均方根误差和峰值信噪比等指标对该方法进行了客观评价。
参考来源 - 期刊学术社区·2,447,543篇论文数据,部分数据来源于NoteExpress
以上来源于: WordNet
Objective To identify typical pathological images by using the neural network based on cross-entropy method.
目的探讨利用基于交叉熵的神经网络识别典型病理图像。
Solution of the optimization problems of minimum cross-entropy with cross-entropy-type constraints was studied.
研究了带有叉熵约束的最小叉熵优化问题的求解问题。
Based on the principle of minimum cross-entropy, diagnostic entropy in broad sense is applied to characterize the fault diagnostic process.
将故障熵的概念引申为广义故障熵,并结合最小互熵原理,用于阐述诊断推理过程。
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