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Towards a Faster Image Segmentation Using the K-means Algorithm on Grayscale Histogram
Benrais, Lamine; Baha, Nadia - In: International Journal of Information Systems in the … 8 (2016) 2, pp. 57-69
aim is to reduce the computation time elapsed in the K-means algorithm by using a grayscale histogram without loss of … accuracy in calculating the clusters centers. The main idea consists of calculating the histogram of the original image …, applying the K-means on the histogram until the equilibrium state is reached, and computing the clusters centers then the …
Persistent link: https://www.econbiz.de/10012045849
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A Fastest Patchwise Histogram Construction Algorithm based on Cloud-Computing Architecture
Huang, Shih-Chia; Cheng, Chung-Chih; Cheng, Fan-Chieh; … - In: International Journal of Web Services Research (IJWSR) 14 (2017) 1, pp. 1-12
The histogram in each patch of the input image is a useful feature applied for various development of image processing … techniques. However, if the size of the input image is very large, the histogram construction of each patch in the image becomes … patchwise histogram construction algorithm based on cloud-computing architecture that is faster than similar state …
Persistent link: https://www.econbiz.de/10012048745
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Transformation of an empirical distribution to normal distribution by the use of Johnson system of translation and symmetrical quantile method
Friebel, Ludvík; Friebelová, Jana - 2012
This article deals with approximation of empirical distribution to standard normal distribution using Johnson transformation. This transformation enables us to approximate wide spectrum of continuous distributions with a normal distribution. The estimation of parameters of transformation...
Persistent link: https://www.econbiz.de/10011315938
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Rozdelenie a faktory najvyšších miezd zamestnancov v Slovenskej republike
Pacáková, Viera; Linda, Bohdan; Sipková, L̓ubica - In: Ekonomický časopis : časopis pre ekonomickú … 60 (2012) 9, pp. 918-934
Persistent link: https://www.econbiz.de/10010372808
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A note on computing the center of uncertain data on the real line
Wang, Haitao; Zhang, Jingru; Zyma, Kenneth - In: Operations research letters 44 (2016) 3, pp. 370-373
Persistent link: https://www.econbiz.de/10011506150
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Towards a faster image segmentation using the K-means algorithm on grayscale histogram
Benrais, Lamine; Baha, Nadia - In: International journal of information systems in the … 8 (2016) 2, pp. 57-69
Persistent link: https://www.econbiz.de/10011493940
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Anschauliche und verständliche Datenbeschreibung : Methoden der deskriptiven Statistik
Benesch, Thomas - 2005 - 2. aktual. Aufl
Persistent link: https://www.econbiz.de/10003142644
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Automatic extraction of 1D barcodes from video scans for drone-assisted inventory management in warehousing applications
Xu, Lichao; Kamat, Vineet R.; Menassa, Carol C. - In: International journal of logistics : research and … 21 (2018) 3, pp. 243-258
Persistent link: https://www.econbiz.de/10011881176
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On the asymptotic normality of frequency polygons for strongly mixing spatial processes
Machkouri, Mohamed El - In: Statistical Inference for Stochastic Processes 16 (2013) 3, pp. 193-206
This paper establishes the asymptotic normality of frequency polygons in the context of stationary strongly mixing random fields indexed by <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\mathbb {Z}^d$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <msup> <mrow> <mi mathvariant="double-struck">Z</mi> </mrow> <mi>d</mi> </msup> </math> </EquationSource> </InlineEquation>. Our method allows us to consider only minimal conditions on the width bins and provides a simple criterion on the mixing...</equationsource></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010992896
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Transformation of an empirical distribution to normal distribution by the use of Johnson system of translation and symmetrical quantile method
Friebel, Ludvík; Friebelová, Jana - In: Acta Universitatis Bohemiae Meridionales 9 (2006) 1, pp. 75-79
This article deals with approximation of empirical distribution to standard normal distribution using Johnson transformation. This transformation enables us to approximate wide spectrum of continuous distributions with a normal distribution. The estimation of parameters of transformation...
Persistent link: https://www.econbiz.de/10010638564