Results 101 to 110 of about 899,092 (345)
Comparison of weighted and unweighted histograms [PDF]
PoS(ACAT)054, 2007,
http://pos.sissa.it//archive/conferences/050/060/ACAT_060.pdf, 2006 Two modifications of the chi square test for comparing usual(unweighted) and weighted histograms and two weighted histograms are proposed. Numerical examples illustrate an application of the tests for the histograms with different statistics of events. Proposed tests can be used for the comparison of experimental data histograms against simulated data ...
arxiv
Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study
Remote Sensing, 2017 In this study, a new method is proposed for semi-automated surface water detection using synthetic aperture radar data via a combination of radiometric thresholding and image segmentation based on the simple linear iterative clustering superpixel ...
Amir Behnamian +9 more
doaj +1 more source
Generalized profile function model based on neural networks [PDF]
Serbian Journal of Electrical Engineering, 2009 Generalized profile function model (GPFM) provides approximations of the individual models (individual stem profile models) of the objects using only two basic measurements.
Radonja Pero, Stanković Srđan
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Optimum Drift Velocity for Single Molecule Fluorescence Bursts in Micro/Nano-Fluidic Channels
, 2012 Photonic burst histograms can be used to identify single protein molecules in micro/nano-fluidic channels provided the width of the histogram is narrow. Photonic shot noise and residence time fluctuations, caused by longitudinal diffusion, are the major ...
Granqvist, Claes G. +3 more
core +1 more source
Projective clustering by histograms [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2005 Recent research suggests that clustering for high-dimensional data should involve searching for "hidden" subspaces with lower dimensionalities, in which patterns can be observed when data objects are projected onto the subspaces. Discovering such interattribute correlations and location of the corresponding clusters is known as the projective ...
Ng, Eric Ka Ka +2 more
openaire +2 more sources
Image Analysis and Stereology, 2011 In this paper, an approach to the segmentation of microscopic color images is addressed, and applied to medical images. The approach combines a clustering method and a region growing method.
Olivier Lezoray
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A scalar model of inhomogeneous elastic and granular media
, 2000 We investigate theoretically how the stress propagation characteristics of granular materials evolve as they are subjected to increasing pressures, comparing the results of a two-dimensional scalar lattice model to those of a molecular dynamics ...
Coppersmith, S. N., Nguyen, M. L.
core +1 more source
UNSUPERVISED DATA AND HISTOGRAM CLUSTERING USING INCLINED PLANES SYSTEM OPTIMIZATION ALGORITHM
Image Analysis and Stereology, 2014 Within the last decades, clustering has gained significant recognition as one of the data mining methods, especially in the relatively new field of medical engineering for diagnosing cancer.
Mohammad Hamed Mozaffari +1 more
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Entropy, 2018 When constructing discrete (binned) distributions from samples of a data set, applications exist where it is desirable to assure that all bins of the sample distribution have nonzero probability.
Paul Darscheid, Anneli Guthke, Uwe Ehret
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, 2010 The numerical simulation of strongly first-order phase transitions has remained a notoriously difficult problem even for classical systems due to the exponentially suppressed (thermal) equilibration in the vicinity of such a transition. In the absence of
Alder S +13 more
core +1 more source