Results 51 to 60 of about 899,092 (345)
, 2023 Many high-school students are not able to draw justified conclusions from statistical data in histograms. A literature review showed that most misinterpretations of histograms are related to difficulties with two statistical key concepts: data and distribution.
openaire +3 more sources
Mathematics, 2020 A maximum-likelihood estimation of a multivariate mixture model’s parameters is a difficult problem. One approach is to combine the REBMIX and EM algorithms.
Branislav Panić +2 more
doaj +1 more source
Offline signature verification using classifier combination of HOG and LBP features [PDF]
, 2011 We present an offline signature verification system based on a signature’s local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each ...
Kholmatov, Alisher Anatolyevich +6 more
core +2 more sources
Кібернетика та комп'ютерні технології, 2022 Introduction. Many computer vision applications often use procedures for recognizing various shapes and estimating their dimensional characteristics. The entire pipeline of such processing consists of several stages, each of which has no clearly defined ...
Oleksandr Golovin
doaj +1 more source
Chi-Square Tests for Comparing Weighted Histograms [PDF]
Nucl.Instrum.Meth.A614:287-296,2010, 2009 Weighted histograms in Monte Carlo simulations are often used for the estimation of probability density functions. They are obtained as a result of random experiments with random events that have weights. In this paper, the bin contents of a weighted histogram are considered as a sum of random variables with a random number of terms. Generalizations of
arxiv +1 more source
On Distributed Computation in Noisy Random Planar Networks [PDF]
, 2007 We consider distributed computation of functions of distributed data in random planar networks with noisy wireless links. We present a new algorithm for computation of the maximum value which is order optimal in the number of transmissions and ...
Kanoria, Y., Manjunath, D.
core +2 more sources
Unstable Periodic Orbit Analysis of Histograms of Chaotic Time Series [PDF]
, 1998 Using the Lorenz equations, we have investigated whether unstable periodic orbits (UPOs) associated with a strange attractor may predict the occurrence of the robust sharp peaks in histograms of some experimental chaotic time series. Histograms with sharp peaks occur for the Lorenz parameter value r=60.0 but not for r=28.0, and the sharp peaks for r=60.
arxiv +1 more source
Contrast Enhancement And Brightness Preservation Using Multi- Decomposition Histogram Equalization [PDF]
SIPIJ, Vol.4, Issue.3, pp. 85-93, 2013 Histogram Equalization (HE) has been an essential addition to the Image Enhancement world. Enhancement techniques like Classical Histogram Equalization (CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE) and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance contrast, however, brightness is not well ...
arxiv +1 more source
Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022 Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey +5 more
wiley +1 more source
Gaussian Mixture Model Based Contrast Enhancement [PDF]
Image Processing, IET, Vol. 9, No. 7, pp. 569-577, 2015, 2015 In this paper, a method for enhancing low contrast images is proposed. This method, called Gaussian Mixture Model based Contrast Enhancement (GMMCE), brings into play the Gaussian mixture modeling of histograms to model the content of the images.
arxiv +1 more source