Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images [PDF]
Frontiers in Neurorobotics, 2023 Tiny objects in remote sensing images only have a few pixels, and the detection difficulty is much higher than that of regular objects. General object detectors lack effective extraction of tiny object features, and are sensitive to the Intersection-over-
Shuyan Ni +7 more
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Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence [PDF]
Frontiers in Oncology, 2021 MotivationThe evolution of complex diseases can be modeled as a time-dependent nonlinear dynamic system, and its progression can be divided into three states, i.e., the normal state, the pre-disease state and the disease state.
Jinling Yan +7 more
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Tight Bounds Between the Jensen–Shannon Divergence and the Minmax Divergence [PDF]
EntropyMotivated by questions arising at the intersection of information theory and geometry, we compare two dissimilarity measures between finite categorical distributions.
Arseniy Akopyan +3 more
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Noise Reduction Using Singular Value Decomposition with Jensen–Shannon Divergence for Coronary Computed Tomography Angiography [PDF]
Diagnostics, 2023 Coronary computed tomography angiography (CCTA) is widely used due to its improvements in computed tomography (CT) diagnostic performance. Unlike other CT examinations, CCTA requires shorter rotation times of the X-ray tube, improving the temporal ...
Ryosuke Kasai, Hideki Otsuka
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Bluetooth Device Identification Using RF Fingerprinting and Jensen-Shannon Divergence [PDF]
SensorsThe proliferation of radio frequency (RF) devices in contemporary society, especially in the fields of smart homes, Internet of Things (IoT) gadgets, and smartphones, underscores the urgent need for robust identification methods to strengthen ...
Rene Francisco Santana-Cruz +4 more
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JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases [PDF]
Frontiers in Genetics, 2020 Taking advantage of the high-throughput genotyping technology of Single Nucleotide Polymorphism (SNP), Genome-Wide Association Studies (GWASs) have been successfully implemented for defining the relative role of genes and the environment in disease risk,
Xuan Guo
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Two Types of Geometric Jensen–Shannon Divergences [PDF]
EntropyThe geometric Jensen–Shannon divergence (G-JSD) has gained popularity in machine learning and information sciences thanks to its closed-form expression between Gaussian distributions.
Frank Nielsen
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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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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
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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