In this paper we propose an extension of the standard single-feature mutual information similarity measure to a multi- feature mutual information measure, where ...
It provides a simple method for evaluating and testing dependencies in multidimensional frequency data or contingency tables. In section II, I will summarize ...
Jul 23, 2020 · F(X1;⋯;XN)=∑Ni=1H(Xi)−H(X1,X2,⋯,XN) is multiinformation, or total correlation. It is non-negative and quantifies the redundancy or dependency ...
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two ...
Mar 3, 2020 · The intuitional answer is that when you sum mutual informations pairwise, you recount the intersected information inside those variables.
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These measures complement the existing measures of multivariate mutual information and are constructed by considering the algebraic structure of information ...
McGill's multiple mutual informations are useful to systematically describe multiple interactions of frequency data with general n-way.
Mar 10, 2009 · In this paper, the registration of cervical data is addressed using mutual information (MI) of not only image intensity, but also features that describe local ...
Mar 15, 2012 · The novel approach solves the problem of efficient estimation of multifeature mutual information from sparse high-dimensional feature space.
Oct 18, 2022 · The conditional mutual information can be used to inductively define a multivariate mutual information (MMI) in a set- or measure-theoretic ...