ANALYSIS OF CLOUD DROPLET SIZE SPECTRA BY JENSEN-SHANNON DIVERGENCE
نویسندگان
چکیده
منابع مشابه
Non-parametric Jensen-Shannon Divergence
Quantifying the difference between two distributions is a common problem in many machine learning and data mining tasks. What is also common in many tasks is that we only have empirical data. That is, we do not know the true distributions nor their form, and hence, before we can measure their divergence we first need to assume a distribution or perform estimation. For exploratory purposes this ...
متن کاملNonextensive Generalizations of the Jensen-Shannon Divergence
Convexity is a key concept in information theory, namely via the many implications of Jensen’s inequality, such as the non-negativity of the Kullback-Leibler divergence (KLD). Jensen’s inequality also underlies the concept of Jensen-Shannon divergence (JSD), which is a symmetrized and smoothed version of the KLD. This paper introduces new JSD-type divergences, by extending its two building bloc...
متن کاملAnalysis of symbolic sequences using the Jensen-Shannon divergence.
We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference between probability distributions, and which has been widely applied to analyses of symbolic sequences. We present three interpretations of D in the framework of statistical physics, information theory, and mathematical statistics, and obtain approximations of the mean, the variance, and the prob...
متن کاملA Note on Bound for Jensen-Shannon Divergence by Jeffreys
We present a lower bound on the Jensen-Shannon divergence by the Jeffrers’ divergence when pi ≥ qi is satisfied. In the original Lin's paper [IEEE Trans. Info. Theory, 37, 145 (1991)], where the divergence was introduced, the upper bound in terms of the Jeffreys was the quarter of it. In view of a recent shaper one reported by Crooks, we present a discussion on upper bounds by transcendental fu...
متن کاملSkin-Cancer Region of Interest Detection using Jensen-Shannon Divergence
.Frequent screening of suspicious skin pigmentations is of paramount importance since, at an early stage; skin cancer has a high cure rate and, in most cases, requires a simple treatment. In this paper, we present a newly methodology for early detection of skin cancer based on the used of image segmentation. This method is based on the use of the JensenShannon divergence of the histograms taken...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Anales AFA
سال: 2019
ISSN: 1850-1168
DOI: 10.31527/analesafa.2019.30.3.52