Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation. [PDF]
PLoS ONE, 2017 Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image processing algorithms. Providing a reliable and efficient stain colour deconvolution approach is fundamental for robust algorithm. In this paper, we propose
Najah Alsubaie +4 more
doaj +1 more source
Quantitative determination of carbonaceous particle mixing state in Paris using single-particle mass spectrometer and aerosol mass spectrometer measurements [PDF]
Atmospheric Chemistry and Physics, 2013 Single-particle mixing state information can be a powerful tool for assessing the relative impact of local and regional sources of ambient particulate matter in urban environments.
R. M. Healy +14 more
doaj +1 more source
, 2003 We present a new method for multi-component power spectra estimation in multi-frequency observations of the CMB. Our method is based on matching a model to the cross and auto power spectra of observed maps.
Benoı̂t +14 more
core +2 more sources
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero +5 more
core +9 more sources
Sensors, 2019 To identify the major vibration and radiation noise, a source contribution quantitative estimation method is proposed based on underdetermined blind source separation.
Jiantao Lu, Wei Cheng, Yanyang Zi
doaj +1 more source
The Pigments of the Painter Fleury Richard (1777–1852), a Model for Multidisciplinary Study
Heritage, 2022 Fleury Richard was a colorist painter of the early 19th century. He practiced the oil technique inspired by the Renaissance at a time when advances in chemistry were introducing many new synthetic pigments.
Davy Carole +6 more
doaj +1 more source
, 2017 We consider the problem of estimating means of two Gaussians in a 2-Gaussian mixture, which is not balanced and is corrupted by noise of an arbitrary distribution.
Marecek, Jakub, Xu, Jing
core +1 more source
Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators Under Weak Dependence and Weak Conditions [PDF]
, 2014 We show that spline and wavelet series regression estimators for weakly dependent regressors attain the optimal uniform (i.e. sup-norm) convergence rate $(n/\log n)^{-p/(2p+d)}$ of Stone (1982), where $d$ is the number of regressors and $p$ is the ...
Chen, Xiaohong, Christensen, Timothy
core +4 more sources
Rolling Bearing Fault Diagnosis Based on Nonlinear Underdetermined Blind Source Separation
Machines, 2022 One challenge of bearing fault diagnosis is that the vibration signals are often a nonlinear mixture of unknown source signals. In addition, the practical installation position also limits the number of observed signals. Hence, bearing fault diagnosis is
Hong Zhong +4 more
doaj +1 more source
Validity of quasi-degenerate neutrino mass models and their predictions on baryogenesis
, 2012 Quasi-degenerate neutrino mass models (QDN) which can explain the current data on neutrino masses and mixings,are studied. In the first part, we study the effect of CP-phases on QDN mass matrix obeying $\mu-\tau$ symmetry in normal hierarchical (QD-NH ...
Abada +63 more
core +1 more source