International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.
DOI: 10.1109/isit.2004.1365067
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Cited by 387 publications
(263 citation statements)
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“…However, KL divergence has an undesirable property as a dissimilarity measure, i.e., asymmetry. Therefore, JensenShannon (JS) divergence [17], which is symmetric, has also been used as a dissimilarity measure [7,8]. The JS divergence between p(x|ϕ) and p(x|ψ) is defined as…”
Section: Dissimilarity Score Between Two Visual Modelsmentioning
confidence: 99%
“…However, KL divergence has an undesirable property as a dissimilarity measure, i.e., asymmetry. Therefore, JensenShannon (JS) divergence [17], which is symmetric, has also been used as a dissimilarity measure [7,8]. The JS divergence between p(x|ϕ) and p(x|ψ) is defined as…”
Section: Dissimilarity Score Between Two Visual Modelsmentioning
confidence: 99%
“…Let M It is well known that J(f g) is a metric. J(f g) is also known to be Hilbertian [121]. A metric d(x, y) is said to be Hilbertian iff d…”
Section: A3 Entropy and Divergencesmentioning
confidence: 99%
“…We therefore can use this distribution as a baseline for a systematic search through the remaining 19 macaque chromosomes. While we could use a statistical test such as the Kullback-Leibler divergence (Fuglede and Topsøe 2004), we simply visually inspected the distributions. Two of the monkey chromosomes, 12 and 13, produce significantly different distributions.…”
Section: Mapping the Rhesus Monkey Chromosomesmentioning
confidence: 99%