Information theory is a branch of applied mathematics, electrical engineering, and computer science involving the quantification of information.
I've recently started a course on data compression at my university. However, I find the use of the term "entropy" …
computer-science information-theory entropy data-compressionIs there a standard way to do this? Googling -- "approximate entropy" bits -- uncovers multiple academic papers but I'd …
encryption entropy information-theory data-compressionFor an m x n matrix, what's the optimal (fastest) way to compute the mutual information for all pairs of …
python performance numpy scipy information-theoryIs there a chance to get the value of information gain be negative?
machine-learning information-theoryI have two black and white images and I need to calculate the mutual information. Image 1 = X Image 2 = Y I …
image matlab image-processing entropy information-theoryI have a array in size MxN and I like to compute the entropy value of each row. What would …
python performance numpy entropy information-theoryI need code to find entropy of an image. for(int i=0;i<grey_image.rows;i++) { for(int …
c++ opencv information-theoryI have a probability distribution that defines the probability of occurrence of n possible states. I would like to calculate …
matlab statistics probability information-theoryImagine that you had all the supercomputers in the world at your disposal for the next 10 years. Your task was …
information-theory data-compression compressionI am having problems interpreting the results of the mi.plugin() (or mi.empirical()) function from the entropy package. As …
r entropy information-theory