Results 11 to 20 of about 6,879 (215)
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means
Entropy, 2019 The Jensen–Shannon divergence is a renowned bounded symmetrization of the unbounded Kullback–Leibler divergence which measures the total Kullback–Leibler divergence to the average mixture distribution.
Frank Nielsen, Nielsen Frank
exaly +6 more sources
Entropy, 2015 In this paper we develop a new procedure for entropic image edge detection. The presented method computes the Jensen–Shannon divergence of the normalized grayscale histogram of a set of multi-sized double sliding windows over the entire image.
Qutaibeh D Katatbeh +1 more
exaly +4 more sources
The Representation Jensen-Shannon Divergence
CoRR, 2023 Quantifying the difference between probability distributions is crucial in machine learning. However, estimating statistical divergences from empirical samples is challenging due to unknown underlying distributions. This work proposes the representation Jensen-Shannon divergence (RJSD), a novel measure inspired by the traditional Jensen-Shannon ...
Jhoan Keider Hoyos-Osorio +1 more
openaire +3 more sources
On the Jensen-Shannon divergence and the variation distance for categorical probability distributions [PDF]
Kybernetika, 2022 Peer ...
Jukka Corander, Ulpu Remes, Timo Koski
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Entropy, 2021 We generalize the Jensen-Shannon divergence and the Jensen-Shannon diversity index by considering a variational definition with respect to a generic mean, thereby extending the notion of Sibson’s information radius.
Frank Nielsen
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Properties of classical and quantum Jensen-Shannon divergence [PDF]
Physical Review A, 2009 13 pages, LaTeX, expanded contents, added references and corrected ...
J. Briët (Jop), P. Harremoës (Peter)
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Multimodal Generative Learning Utilizing Jensen-Shannon Divergence [PDF]
CoRR, 2019 Advances in Neural Information Processing Systems ...
Sutter, Thomas +2 more
openaire +7 more sources
Protein–ligand affinity prediction via Jensen-Shannon divergence of molecular dynamics simulation trajectories [PDF]
Biophysics and PhysicobiologyPredicting the binding affinity between proteins and ligands is a critical task in drug discovery. Although various computational methods have been proposed to estimate ligand target affinity, the method of Yasuda et al.
Kodai Igarashi, Masahito Ohue
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A method for continuous-range sequence analysis with Jensen-Shannon divergence
Papers in Physics, 2021 Mutual Information (MI) is a useful Information Theory tool for the recognition of mutual dependence between data sets. Several methods have been developed fore estimation of MI when both data sets are of the discrete type or when both are of the ...
Miguel Ángel Ré +1 more
doaj +5 more sources
Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation [PDF]
Entropy, 2018 Atrial fibrillation (AF) is already the most commonly occurring arrhythmia. Catheter pulmonary vein ablation has emerged as a treatment that is able to make the arrhythmia disappear; nevertheless, recurrence to arrhythmia is very frequent. In this study,
Raquel Cervigón +4 more
doaj +2 more sources