Results 251 to 260 of about 3,594,430 (292)

On adaptive sampling

Computing, 1990
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Adaptive Web Sampling

Biometrics, 2006
SummaryA flexible class of adaptive sampling designs is introduced for sampling in network and spatial settings. In the designs, selections are made sequentially with a mixture distribution based on an active set that changes as the sampling progresses, using network or spatial relationships as well as sample values.
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Blind Adaptive Sampling of Images

IEEE Transactions on Image Processing, 2012
Adaptive sampling schemes choose different sampling masks for different images. Blind adaptive sampling schemes use the measurements that they obtain (without any additional or direct knowledge about the image) to wisely choose the next sample mask. In this paper, we present and discuss two blind adaptive sampling schemes. The first is a general scheme
Zvi Devir, Michael Lindenbaum
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Fast Marching Adaptive Sampling

IEEE Robotics and Automation Letters, 2017
Achallenging problem for autonomous exploration is estimating the utility of future samples. In this paper, we consider the problem of placing observations over an initially unknown continuous cost field to find the least-cost path from a fixed start to a fixed goal position.
Nicholas R. J. Lawrance, Jen Jen Chung, Geoffrey A. Hollinger   +2 more
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Inverse Adaptive Cluster Sampling

Biometrics, 2001
Consider a population in which the variable of interest tends to be at or near zero for many of the population units but a subgroup exhibits values distinctly different from zero. Such a population can be described as rare in the sense that the proportion of elements having nonzero values is very small.
Christman, Mary C., Lan, Feng
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Detectability in Conventional and Adaptive Sampling

Biometrics, 1994
In this paper a simple but very general method is given for estimating a population total with any sampling design when objects in sampled units are observed with imperfect detectability--a problem characteristic of many surveys of natural and human populations.
Thompson, Steven K., Seber, George A. F.
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Filtering by adaptive sampling (FAS)

Medical & Biological Engineering & Computing, 1988
Reference LMAM-ARTICLE-1988-001doi:10.1007/BF02447507View record in Web of Science Record created on 2006-11-30, modified on 2017-05 ...
Aminian, K., Ruffieux, C., Robert, Ph.
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Adaptive Rejection Sampling for Gibbs Sampling

Applied Statistics, 1992
Summary: We propose a method for rejection sampling from any univariate log- concave probability density function. The method is adaptive: as sampling proceeds, the rejection envelope and squeezing function are converge to the density function. The technique is intended for situations where evaluation of the density is computationally expensive, in ...
Gilks, W. R., Wild, P.
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Adaptive Sampling of Speech Signals

IEEE Transactions on Communications, 1974
The present work gives a proposed method of sampling speech signals with a nonuniform sampling rate according to the magnitude of the slope of the signal, provided that the average sampling rate satisfies Shannon's requirements. With this proposed method, the quality of the reconstructed speech signal is improved.
Abd El-Samie Mostafa, Mohsen M. T. El-Hagry   +1 more
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Adaptive Sampling

2011
Animal populations are often highly grouped. For example, fish can form large, widely scattered schools with few fish in between. Even rare species of animals may form small groups that are hard to find. Applying standard sampling methods such as simple random sampling of plots to such a population could yield little information, with most of the plots
Seber, George A. F., Mohammad Salehi, M.
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