Efficient foreground object segmentation from video by Probability Weighted Moments
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DOI: 10.1016/j.ijleo.2020.166251
Abstract: Abstract Segmentation of foreground objects is an important issue in computer vision. Since, there exist no predefined classes for unsupervised learning, which makes it computationally expensive. Also, the contrast of foreground to background needs to… read more here.
Keywords: object segmentation; foreground; segmentation; probability weighted ... See more keywords
An extension to empirical likelihood for evaluating probability weighted moments
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2016.09.008
Abstract: Abstract The scientific literature has addressed widely the theoretical and applied framework based on probability weighted moments (PWMs). PWMs generalize the concept of conventional moments of a probability function. These methods are commonly applied for… read more here.
Keywords: probability weighted; probability; weighted moments; empirical likelihood ... See more keywords
Probability-Weighted Optimal Control for Nonlinear Stochastic Vibrating Systems with Random Time Delay
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DOI: 10.1155/2018/5636541
Abstract: A probability-weighted optimal control strategy for nonlinear stochastic vibrating systems with random time delay is proposed. First, by modeling the random delay as a finite state Markov process, the optimal control problem is converted into… read more here.
Keywords: nonlinear stochastic; probability weighted; control; delay ... See more keywords
Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability-Weighted Moments
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/9721503
Abstract: The method of single image-based dehazing is addressed in the last two decades due to its extreme variating properties in different environments. Different factors make the image dehazing process cumbersome like unbalanced airlight, contrast, and… read more here.
Keywords: image; probability weighted; image dehazing; weighted moments ... See more keywords
Statistical methods for incomplete data: Some results on model misspecification
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214544251
Abstract: Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour of estimators arising from inverse… read more here.
Keywords: probability weighted; inverse probability; probability; model misspecification ... See more keywords
The principle of maximum entropy and the probability-weighted moments for estimating the parameters of the Kumaraswamy distribution
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DOI: 10.1371/journal.pone.0268602
Abstract: Since Shannon’s formulation of the entropy theory in 1940 and Jaynes’ discovery of the principle of maximum entropy (POME) in 1950, entropy applications have proliferated across a wide range of different research areas including hydrological… read more here.
Keywords: parameters kumaraswamy; probability weighted; maximum entropy; weighted moments ... See more keywords
A Novel Global Sensitivity Measure Based on Probability Weighted Moments
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DOI: 10.3390/sym13010090
Abstract: Global sensitivity analysis (GSA) is a useful tool to evaluate the influence of input variables in the whole distribution range. Variance-based methods and moment-independent methods are widely studied and popular GSA techniques despite their several… read more here.
Keywords: probability weighted; global sensitivity; measure; novel global ... See more keywords