Results 51 to 60 of about 4,333,581 (301)
The estimation of the watermelon density from a two-dimensional photograph [PDF]
Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019 The density of a watermelon floating in a container of water is estimated with a simplified method from theoretical geometry without consideration of three –dimensional effects. The watermelon was approximated as a sphere.
Choojit Sarapak
doaj
Evaluation of Acoustic Recording Devices to Survey Northern Bobwhite Populations
Wildlife Society Bulletin, 2020 Reliable methods for monitoring wildlife populations are paramount to effective conservation and management. There are a variety of available techniques that vary in cost and feasibility. We field‐tested a commercially available acoustic recording device
Nathan G. Wilhite +2 more
doaj +1 more source
Estimation of the Scaling Parameter for A Symmetric Design Function [PDF]
The Egyptian Statistical Journal, 1990 Some results are given for the estimation of the scaling parameter in kernel-type density estimation for a symmetric density. For the case when the point of symmetry, θ is known it is shown that a symmetrized Kernal estimator is, as measured by MISE ...
A.K. Hosni
doaj +1 more source
J. Mach. Learn. Res., 2010 We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estimation, we do not assume the true distribution corresponds to a forest; rather, we form kernel density estimates of the bivariate and univariate marginals, and apply Kruskal's ...
Han Liu 0001 +5 more
openaire +3 more sources
On Crowd Density Estimation for Surveillance
, 2006 The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of
Rahmalan, Hidayah +5 more
core +2 more sources
EngOnline monitoring of partial discharge (PD) is a complex task traditionally requiring specialized expertise. However, recent advancements in signal processing and machine learning have facilitated the development of automated tools to identify and ...
Krissana Romphuchaiyapruek +1 more
doaj +1 more source
Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations
SensorsWe propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions.
Max Werner +3 more
doaj +1 more source
Nonparametric Estimation for Functional Data by Wavelet Threshold
Revstat Statistical Journal, 2013 This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on a term-by-term selection of the wavelet coefficients estimators.
Christophe Chesneau +2 more
doaj +1 more source
Multivariate kernel density estimation with a parametric support [PDF]
Opuscula Mathematica, 2009 We consider kernel density estimation in the multivariate case, focusing on the use of some elements of parametric estimation. We present a two-step method, based on a modification of the EM algorithm and the generalized kernel density estimator, and ...
Jolanta Jarnicka
doaj +1 more source
Robust kernel density estimation [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 We propose a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by combining a traditional kernel density estimator (KDE) with ideas from classical $M$-estimation.
JooSeuk Kim, Clayton D. Scott
openaire +5 more sources