Results 21 to 30 of about 3,594,430 (292)
Remote Sensing, 2023 Frequency-diverse radar imaging is an emerging field that combines computational imaging with frequency-diverse techniques to interrogate the high-quality images of objects.
Zhenhua Wu +6 more
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Dynamic Data-Driven Application System for Flow Field Prediction with Autonomous Marine Vehicles
Journal of Marine Science and Engineering, 2023 Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications.
Qianlong Jin +5 more
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Marine Adaptive Sampling Scheme Design for Mobile Platforms under Different Scenarios
Journal of Marine Science and Engineering, 2022 Marine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot.
Yuxin Zhao +3 more
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Layered adaptive importance sampling [PDF]
Statistics and Computing, 2016 Monte Carlo methods represent the "de facto" standard for approximating complicated integrals involving multidimensional target distributions. In order to generate random realizations from the target distribution, Monte Carlo techniques use simpler proposal probability densities to draw candidate samples.
Luca Martino +3 more
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Robust Covariance Adaptation in Adaptive Importance Sampling [PDF]
IEEE Signal Processing Letters, 2018 Importance sampling (IS) is a Monte Carlo methodology that allows for approximation of a target distribution using weighted samples generated from another proposal distribution. Adaptive importance sampling (AIS) implements an iterative version of IS which adapts the parameters of the proposal distribution in order to improve estimation of the target ...
Yousef El-Laham +2 more
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Journal of Forest Science, 2012 Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and ...
Y. Lei, J. Shi, T. Zhao
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A Highly Adaptive Oversampling Approach to Address the Issue of Data Imbalance
Computers, 2022 Data imbalance is a serious problem in machine learning that can be alleviated at the data level by balancing the class distribution with sampling.
Szilvia Szeghalmy, Attila Fazekas
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Proceedings of the 2022 International Conference on Management of Data, 2022 Sampling is a fundamental problem in computer science and statistics. However, for a given task and stream, it is often not possible to choose good sampling probabilities in advance. We derive a general framework for adaptively changing the sampling probabilities via a collection of thresholds.In general, adaptive sampling procedures introduce ...
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Sampling Time Adaptive Single-Photon Compressive Imaging
IEEE Photonics Journal, 2019 We propose a time-adaptive sampling method and demonstrate a sampling-time-adaptive single-photon compressive imaging system. In order to achieve self-adapting adjustment of sampling time, the theory of threshold of light intensity estimation accuracy is
Hui Wang +4 more
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Anchor Chain Optimization Design of a Catenary Anchor Leg Mooring System Based on Adaptive Sampling
Journal of Marine Science and Engineering, 2022 A catenary anchor leg mooring system (CALM) is one of the main kinds of offshore transport terminals. Its buoyancy is connected by multiple anchor chains fixed on the seabed.
Qiang Sun +7 more
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