Results 41 to 50 of about 167,791 (166)

The analysis of identifying the digital images of human skin / Žmogaus odos skaitmeninių vaizdų identifikavimo analizė / Анализ идентификации цифровых изображений кожи человека

open access: yesGeodesy and Cartography, 2011
The article identifies the digital images of human skin using covariance functions and Wavelet theory. The terms of covariance functions are defined using random functions made of scattering arrays of the pixels of digital images considering columns as ...
Jonas Skeivalas   +2 more
doaj   +1 more source

Nonparametric estimation of isotropic covariance function

open access: yesJournal of Nonparametric Statistics, 2022
39 pages, 7 figures. Published in Journal of Nonparametric Statistics (2023)
Yiming Wang, Sujit K. Ghosh
openaire   +2 more sources

Effects of data structure on the estimation of covariance functions to describe genotype by environment interactions in a reaction norm model

open access: yesGenetics Selection Evolution, 2004
Covariance functions have been proposed to predict breeding values and genetic (co)variances as a function of phenotypic within herd-year averages (environmental parameters) to include genotype by environment interaction.
Veerkamp Roel F   +2 more
doaj   +1 more source

SECOND MOMENT MEASURE AND K-FUNCTION FOR PLANAR STIT TESSELLATIONS

open access: yesImage Analysis and Stereology, 2011
For STIT tessellations – stationary tessellations that are stable under the operation iteration of tessellations – the second-ordermeasure of the edge system is studied.
Viola Weiss, Joachim Ohser, Werner Nagel
doaj   +1 more source

Combining Autoregressive Integrated Moving Average Model and Gaussian Process Regression to Improve Stock Price Forecast

open access: yesMathematics
Stock market performance is one key indicator of the economic condition of a country, and stock price forecasting is important for investments and financial risk management. However, the inherent nonlinearity and complexity in stock price movements imply
Shiying Tu   +4 more
doaj   +1 more source

HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification

open access: yesMethodsX, 2020
We provide more technical details about the HLIBCov package, which is using parallel hierarchical (H-) matrices to: • Approximate large dense inhomogeneous covariance matrices with a log-linear computational cost and storage requirement. • Compute matrix-
Alexander Litvinenko   +4 more
doaj   +1 more source

Recovering covariance from functional fragments [PDF]

open access: yesBiometrika, 2018
Biometrika, in ...
Descary, M. -H., Panaretos, V. M.
openaire   +3 more sources

Estimates of covariance functions for growth of Anglo-Nubian goats Estimativas de funções de covariância para crescimento de caprinos anglo nubianos

open access: yesRevista Brasileira de Zootecnia, 2011
It was used 4,313 weight records from birth to 196 days of age from 946 Anglo-nubiana breed goats, progenies from 43 sires and 279 dams, controlled in the period from 1980 to 2005, with the objective of estimating covariance functions and genetic ...
José Ernandes Rufino de Sousa   +5 more
doaj   +1 more source

Estruturas de covariância de peso em função da idade de animais Nelore das regiões Sudeste e Centro-Oeste do Brasil Covariance structure of body weight in function of age for Nellore animals from Southeast and Center West of Brazil

open access: yesArquivo Brasileiro de Medicina Veterinária e Zootecnia, 2008
Dados de peso de animais da raça Nelore de 90 a 450 dias de idade das regiões Sudeste (SE) e Centro-Oeste (CO) do Brasil foram utilizados para comparar estruturas de (co)variância de efeitos aleatórios em função de idade estimadas para as duas regiões ...
B.D. Valente   +7 more
doaj   +1 more source

Spherical harmonic covariance and magnitude function encodings for beamformer design

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
Microphone and speaker array designs have increasingly diverged from simple topologies due to diversity of physical host geometries and use cases. Effective beamformer design must now account for variation in the array’s acoustic radiation pattern ...
Yuancheng Luo
doaj   +1 more source

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