e = entropy(I) , which calculates the entropy of the image in matlab. What is the tolerance factor used in this function, and is there any way to varry it? 댓글 수: 1 Abhishek Kolla 2021년 11월 3일 Entropy is calculated using the form...
Calculate the entropy. J = entropy(I) J = 6.9439 Input Arguments collapse all I—Grayscale image numeric array|logical array Grayscale image, specified as a numeric array or logical array of any dimension.Theentropyfunction expects images of data typedoubleandsingleto have values in the range ...
function[sum,sub,mul,div]= operation(a,b); sum = a + b; sub = a - b; mul = a * b; div = a / b; end PS:上面标红的部分与java中调用该operation的返回值有关系,在java中调用的 Object result[] = XXX.operation(4,a,b); 4表示有4个返回值,分别存放在result[0]到result[4]中。
% Built-in entropy function entropy(I) ans = 4.3978 댓글 수: 0 댓글을 달려면 로그인하십시오. 추가 답변 (1개) 埃博拉酱2023년 4월 8일 0 링크 번역 MATLAB Online에서 열기
Open in MATLAB Online Download Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula....
Cross Entropy Error Function(交叉熵损失函数) 例子 表达式 函数性质 学习过程 优缺点 这篇文章中,讨论的Cross Entropy损失函数常用于分类问题中,但是为什么它会在分类问题中这么有效呢?我们先从一个简单的分类例子来入手。 1. 预测政治倾向例子 我们希望根据一个人的年龄、性别、年收入等相互独立的特征,来预测一个...
In this guide you will find descriptions of function syntax, examples of function use, and references to the source literature of each function. The MatLab version of the toolkit has a comprehensive help section which can be accessed through the help browser. ...
function [mse,sf] = MSE_Costa2005(x,nSf,m,r) % [mse(:,ii) sf] = MSE_Costa2005(y(:,ii),20,2,std(y(:,ii))*0.15); % [mse sf] = MSE_Costa2005(x,nSf,m,r) % % x - input signal vector (e.g., EEG signal or sound signal) ...
Application of maximum statistical entropy in formulating a non-gaussian probability density function in flow uncertainty analysis with prior measurement knowledgedoi:10.1051/ijmqe/2024003MONTE Carlo methodPROBABILITY density functionSTATISTICSSTATISTICAL sampling...
def costfunction(theta,X,y,learningRate): theta=np.matrix(theta) X=np.matrix(X) y=np.matrix(y) #这里出错了 导致X 和theta的乘法 对不上 艹 first=np.multiply(-y,np.log(sigmoid(X* theta.T))) second=np.multiply((1-y),np.log(1-sigmoid(X* theta.T))) ...