Results 11 to 20 of about 3,594,430 (292)
Simulation of Adaptive Sampling in Profile Measurement for Structured Surfaces [PDF]
, 2010 Adaptive sampling is a novel sampling design that can redirect sampling effort during a survey in response to the observed values. Its application on surface texture measurement is new, such as working with stylus profilometers.
Wang, Jian, Blunt, Liam, Jiang, Xiang
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Locally Adaptive Sampling [PDF]
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010 In this paper, we introduce a class of Locally Adaptive Sampling schemes. In this sampling family, time intervals between samples can be computed by using a function of previously taken samples, called a sampling function. Hence, though it is a non-uniform sampling scheme, we do not need to keep sampling times.
Feizi-Khankandi, Soheil +2 more
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Adsorption Sites on Pd Nanoparticles Unraveled by Machine-Learning Potential with Adaptive Sampling
Molecules, 2022 Catalytic properties of noble-metal nanoparticles (NPs) are largely determined by their surface morphology. The latter is probed by surface-sensitive spectroscopic techniques in different spectra regions.
Andrei Tereshchenko +5 more
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Adaptive visual sampling [PDF]
, 2010 PhDVarious visual tasks may be analysed in the context of sampling from the visual field. In visual psychophysics, human visual sampling strategies have often been shown at a high-level to be driven by various information and resource related factors ...
Raja, Yogesh
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Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment
Sensors, 2023 An attention-aware patch-based deep-learning model for a blind 360-degree image quality assessment (360-IQA) is introduced in this paper. It employs spatial attention mechanisms to focus on spatially significant features, in addition to short skip ...
Abderrezzaq Sendjasni +1 more
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On the Efficacy of Sampling Adapters
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023 Sampling is a common strategy for generating text from probabilistic models, yet standard ancestral sampling often results in text that is incoherent or ungrammatical. To alleviate this issue, various modifications to a model's sampling distribution, such as nucleus or top-k sampling, have been introduced and are now ubiquitously used in language ...
Meister, Clara Isabel; id_orcid0000-0002-3775-4426 +4 more
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Estimating viral prevalence with data fusion for adaptive two‐phase pooled sampling
Ecology and Evolution, 2021 The COVID‐19 pandemic has highlighted the importance of efficient sampling strategies and statistical methods for monitoring infection prevalence, both in humans and in reservoir hosts.
Andrew Hoegh +6 more
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Adaptive plenoptic sampling [PDF]
2011 18th IEEE International Conference on Image Processing, 2011 The plenoptic function enables Image-based rendering (IBR) to be viewed in terms of sampling and reconstruction. Thus the spatial sampling rate can be determined through spectral analysis of the plenoptic function. In this paper we present a method of non-uniformly sampling a scene, with a smoothly varying surface, given a finite number of samples ...
Christopher Gilliam +2 more
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Frontiers in Earth Science, 2022 The ultra-deep fault-karst structure discovered in the Tarim Basin in Western China is a fractured-vuggy carbonate reservoir with great potential for development.
Liang Chen +3 more
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A survey of potential sampling strategies for measurement of structured surfaces. [PDF]
, 2009 Uniform sampling is the predominant sampling method for surface measuring instruments. However, measurement for structured surfaces brings an increasingly serious conflict between sampling range and small resolution.
Wang, J, Blunt, Liam, Jiang, Xiang
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