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Generalized maximum-entropy sampling
INFOR: Information Systems and Operational Research, 2019We introduce the generalized constrained maximum-entropy sampling problem (GCMESP) as a common generalization of the ordinary constrained maximum-entropy sampling problem (CMESP) and the constraine...
Jon Lee 0001, Joy Lind
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A FAST ALGORITHM FOR COMPUTING SAMPLE ENTROPY
Advances in Adaptive Data Analysis, 2011Sample entropy is a widely used tool for quantifying complexity of a biological system. Computing sample entropy directly using its definition requires large computational costs. We propose a fast algorithm based on a k-d tree data structure for computing sample entropy. We prove that the time complexity of the proposed algorithm is [Formula: see text]
Ying Jiang 0002, Dong Mao, Yuesheng Xu
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Entropy-Based Adaptive Sampling
2003Digital Decor is furniture, appliances, and other small objects commonly found in homes and offices that have been augmented with computational power to extend usefulness. As such, Digital Decor is a physical manifestation of the ubiquitous, pervasive, and invisible computer in which the familiar, everyday object is imbued with additional capabilities ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
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Journal of Applied Statistics, 1987
(1987). Maximum entropy sampling. Journal of Applied Statistics: Vol. 14, No. 2, pp. 165-170.
M. C. Shewry, H. P. Wynn
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(1987). Maximum entropy sampling. Journal of Applied Statistics: Vol. 14, No. 2, pp. 165-170.
M. C. Shewry, H. P. Wynn
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Constrained Maximum-Entropy Sampling
Operations Research, 1998A fundamental experimental design problem is to select a most informative subset, having prespecified size, from a set of correlated random variables. Instances of this problem arise in many applied domains such as meteorology, environmental statistics, and statistical geology.
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Detection of automated behavior on Twitter through approximate entropy and sample entropy
Personal and Ubiquitous Computing, 2021Twitter is an Online Social Network (OSN). It is a significant forum for public expression and building relationships. By 2020, Twitter has reached nearly 353.1 million active users per month. However, a considerable number of online user accounts can be automated profiles. It is predicted that roughly 52 million profiles on Twitter are bots. Some bots
Rosario Gilmary +2 more
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Sample entropy-based HRV characterisation
International Journal of Medical Engineering and Informatics, 2012The non-linear methods-based heart rate variability analyses are widely becoming popular as these are based upon analysing original RR-interval series. The sample entropy (SampEn) is one of these methods used for quantifying signal complexity, and is based upon hypothesis that decreasing entropy is a pointer towards loss of heart rate variability (HRV).
Ramesh Kumar Sunkaria +2 more
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Image sampling for localization using entropy
2008 19th International Conference on Pattern Recognition, 2008This paper introduces a robust adaptive patches sampling technique. The method does not rely on the use of keypoints to extract local information but all information contained in images. It performs an optimal multilayer quadtree decomposition of images driven by the quantity and homogeneity of information.
Loïc Lachèze, Ryad Benosman
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Influence of noise on the sample entropy algorithm
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2009We study the effect of static additive noise on the sample entropy (SampEn) algorithm [J. S. Richman and J. R. Moorman, Am. J. Physiol. Heart Circ. Physiol. 278, 2039 (2000); R. B. Govindan et al., Physica A 376, 158 (2007)] for analyzing time series.
S., Ramdani +2 more
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An Outer-Approximation Algorithm for Maximum-Entropy Sampling
Discrete Applied Mathematics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcia Fampa, Jon Lee 0001
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