Results 201 to 210 of about 10,752 (214)

Generalized Kullback-Leibler Divergence

2017
The Kullback-Leibler divergence is a measure of how one probability distribution diverges from another, expected probability distribution. It is also called relative entropy and K-L distance. However, the word distance is incorrectly used, since K-L divergence does not have all metric properties.
Pokaz, Dora, Pečarić, Josip
openaire   +1 more source

Kullback–Leibler Divergence

2013
  +4 more sources

GPS-Spoofing Attack Detection Technology for UAVs Based on Kullback–Leibler Divergence

Drones, 2022
Elena Basan, Colin Fidge, Alexey Nekrasov   +2 more
exaly  

Active contour model based on local Kullback–Leibler divergence for fast image segmentation

Engineering Applications of Artificial Intelligence, 2023
Yiyang Chen, Guirong Weng
exaly  

The extended Kullback-Leibler divergence measure in the unknown probability density function cases and applications

International Journal of Intelligent Information and Database Systems, 2021
exaly   +2 more sources

A modified Kullback–Leibler divergence for non-additive measures based on Choquet integral

Fuzzy Sets and Systems, 2019
Hamzeh Agahi
exaly  

Multi-sensor fusion approach with fault detection and exclusion based on the Kullback–Leibler Divergence: Application on collaborative multi-robot system

Information Fusion, 2017

exaly  

Kullback-Leibler Divergence

2012
openaire   +1 more source

On the Kullback-Leibler information divergence of locally stationary processes

Stochastic Processes and Their Applications, 1996
R Dahlhaus
exaly  

Detecting abnormal situations using the Kullback–Leibler divergence

Automatica, 2014
Uwe Kruger, Lei Xie, Jiusun Zeng
exaly