Bivariate Kullback–Leibler divergence
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2496687
Abstract: Abstract. Kullback and Leibler (1951) introduced Kullback–Leibler divergence to measure the disparity between two random variables. In this article, we introduce a bivariate extension of Kullback–Leibler divergence and study its various properties. Bivariate Kullback–Leibler divergence… read more here.
Keywords: kullback; bivariate kullback; leibler divergence; kullback leibler ... See more keywords
Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034828
Abstract: Likelihood-based generative frameworks are receiving increasing attention in the deep learning community, mostly on account of their strong probabilistic foundation. Among them, Variational Autoencoders (VAEs) are reputed for their fast and tractable sampling and relatively… read more here.
Keywords: reconstruction; leibler divergence; variational autoencoders; reconstruction error ... See more keywords
KLDet: Detecting Tiny Objects in Remote Sensing Images via Kullback–Leibler Divergence
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3382099
Abstract: Remote sensing images (RSIs) frequently contain quite a few tiny objects with a finite number of pixels to study. The limited spatial information poses a challenge for extracting discriminative features for representing the characteristics of… read more here.
Keywords: kullback leibler; leibler divergence; remote sensing; tiny objects ... See more keywords
MMSE Bounds for Additive Noise Channels Under Kullback–Leibler Divergence Constraints on the Input Distribution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2951221
Abstract: Upper and lower bounds on the minimum mean square error for additive noise channels are derived when the input distribution is constrained to be close to a Gaussian reference distribution in terms of the Kullback–Leibler… read more here.
Keywords: input distribution; noise channels; leibler divergence; additive noise ... See more keywords
Tomographic Image Reconstruction Based on Minimization of Symmetrized Kullback-Leibler Divergence
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/8973131
Abstract: Iterative reconstruction (IR) algorithms based on the principle of optimization are known for producing better reconstructed images in computed tomography. In this paper, we present an IR algorithm based on minimizing a symmetrized Kullback-Leibler divergence… read more here.
Keywords: reconstruction; kullback leibler; symmetrized kullback; divergence ... See more keywords
Kullback–Leibler Divergence of an Open-Queuing Network of a Cell-Signal-Transduction Cascade
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25020326
Abstract: Queuing networks (QNs) are essential models in operations research, with applications in cloud computing and healthcare systems. However, few studies have analyzed the cell’s biological signal transduction using QN theory. This study entailed the modeling… read more here.
Keywords: leibler divergence; signal transduction; transduction; cell signal ... See more keywords