Results 21 to 30 of about 6,826 (184)
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 +3 more
doaj +2 more sources
On the Jensen-Shannon divergence and the variation distance for categorical probability distributions [PDF]
, 2021 summary:We establish a decomposition of the Jensen-Shannon divergence into a linear combination of a scaled Jeffreys' divergence and a reversed Jensen-Shannon divergence. Upper and lower bounds for the Jensen-Shannon divergence are then found in terms of
Corander, Jukka +2 more
core +1 more source
Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence [PDF]
, 2023 The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the ...
Schultz, Simon R. +2 more
core +2 more sources
Hepatology, EarlyView., 2022 Natural history of liver disease in a large international cohort of children with Alagille syndrome: Results from the GALA study. Abstract Background and Aims Alagille syndrome (ALGS) is a multisystem disorder, characterized by cholestasis. Existing outcome data are largely derived from tertiary centers, and real‐world data are lacking.
Shannon M. Vandriel +93 more
wiley +1 more source
Jensen-Shannon Divergence for Non-Destructive Incipient Crack Detection and Estimation
IEEE Access, 2020 Nowadays industrial process needs more and more accurate nondestructive procedures for material crack detection and diagnosis. Early detection in that cases are very challenging issues: more the cracks are incipient and higher is the difficulty for its ...
Xiaoxia Zhang +2 more
doaj +1 more source
Calculate the Jensen–Shannon divergence between dissolved organic matter samples
, 2022 Using the Jensen–Shannon divergence to find dissimilarities between dissolved organic matter samples analyzed by high-resolution mass ...
Morimaru Kida +2 more
core +1 more source
Cancer biomarker discovery: the entropic hallmark. [PDF]
PLoS ONE, 2010 BACKGROUND: It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high ...
Regina Berretta, Pablo Moscato
doaj +1 more source
The Metric Property of the Quantum Jensen-Shannon Divergence
, 2021 In this short note, we prove that the square root of the quantum Jensen-Shannon divergence is a true metric on the cone of positive matrices, and hence in particular on the quantum state ...
Virosztek, Daniel ; https://orcid.org/ +1 more
core +1 more source
Regional Science Policy &Practice, EarlyView., 2023 Abstract Regional innovation policies are currently influenced by a series of territorial innovation models, with the regional innovation system (RIS) approach being one of the prominent examples. The rationale of smart specialization strategies (S3s) is deeply influenced by the RIS concept and highlights the importance of entrepreneurial discovery and
Hugo Pinto
wiley +1 more source
Seven Means, Generalized Triangular Discrimination, and Generating Divergence Measures
Information, 2013 Jensen-Shannon, J-divergence and Arithmetic-Geometric mean divergences are three classical divergence measures known in the information theory and statistics literature.
Inder Jeet Taneja
doaj +1 more source