Search Results - UPDATE PROPAGATION
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Propagating Updates of Residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations
Published in ISPRS International Journal of Geo-Information (2016-06-01)“…An efficient way to update topographic maps is to propagate the updates from large-scale maps to small-scale maps. …”
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Omni-Directional Semi-Global Stereo Matching with Reliable Information Propagation
Published in Applied Sciences (2022-11-01)Subjects: “…omni-directional propagation…”
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Updates on Parkinson’s Disease
Published in Neuropsychiatric Disease and Treatment (2025-09-01)Get full text
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Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates
Published in Frontiers in Computational Neuroscience (2024-05-01)“…Interestingly, unlike back-propagation-like schemes where there is no link between learning and memory, our rule presents a direct connection between working memory and synaptic updates. …”
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Fast 3D Content Update for Wide-Angle Holographic Near-Eye Display
Published in Applied Sciences (2021-12-01)Subjects: “…hologram update…”
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Comparison of Hybrid Methods with Different Meta Model Used in Bridge Model-Updating
Published in The Baltic Journal of Road and Bridge Engineering (2017-09-01)Subjects: “…back-propagation neural network meta model…”
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Electromagnetic wave propagation algorithm: A novel electromagnetic wave propagation-inspired optimizer for engineering applications
Published in Ain Shams Engineering Journal (2025-11-01)“…This study introduces a new physics-based meta-heuristic optimization technique, termed Electromagnetic Wave Propagation Algorithm (EMWPA), which models the propagation behavior of electromagnetic waves for global search diversity to improve exploration. …”
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Modeling Error Estimation and Response Prediction of a 10-Story Building Model Through a Hierarchical Bayesian Model Updating Framework
Published in Frontiers in Built Environment (2019-01-01)Subjects: “…hierarchical Bayesian model updating…”
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Valencia Performance and Rootstock Propagation Methods
Published in EDIS (2021-05-01)“…These trials compare the performance of Valencia trees grafted on rootstocks that have been propagated from seed and rootstocks that have been propagated by cuttings and tissue culture. …”
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Gauging tensor networks with belief propagation
Published in SciPost Physics (2023-12-01)“…It has the practical advantage, however, that existing belief propagation implementations can be repurposed for tensor network gauging, and that belief propagation is a very simple algorithm based on just tensor contractions so it can be easier to implement, optimize, and generalize. …”
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Parallel window propagation on mesh surfaces
Published in Tạp chí Khoa học và Công nghệ (2023-12-01)“…Our contribution is developing of the parallel window propagation (PWP) algorithm, which divides the sequential MMP algorithm into four phases: front node selection, window list propagation, window list merging, and vertex update. …”
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A BOTTOM-UP GEOSPTIAL DATA UPDATE MECHANISM FOR SPATIAL DATA INFRASTRUCTURE UPDATING
Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2012-08-01)“…Then, the proposed updating cycle is deeply discussed about the feasibility of which can detect the changed elements in time and shorten the update period, provide more accurate geometry and attribute data for spatial data infrastructure and support update propagation.…”
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Editorial Status Update of OJAP
Published in IEEE Open Journal of Antennas and Propagation (2025-01-01)Get full text
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P-wave dispersion: an update
Published in Indian Pacing and Electrophysiology Journal (2016-07-01)Get full text
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Tensor networks contraction and the belief propagation algorithm
Published in Physical Review Research (2021-04-01)“…Belief propagation is a well-studied message-passing algorithm that runs over graphical models and can be used for approximate inference and approximation of local marginals. …”
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The graphical brain: Belief propagation and active inference
Published in Network Neuroscience (2017-12-01)“…In particular, we formulate neuronal processing as belief propagation under deep generative models. Crucially, these models can entertain both discrete and continuous states, leading to distinct schemes for belief updating that play out on the same (neuronal) architecture. …”
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