Results 51 to 60 of about 365,701 (280)

On the Reversible Jump Markov Chain Monte Carlo (RJMCMC) Algorithm for Extreme Value Mixture Distribution as a Location-Scale Transformation of the Weibull Distribution

Applied Sciences, 2021
Data with a multimodal pattern can be analyzed using a mixture model. In a mixture model, the most important step is the determination of the number of mixture components, because finding the correct number of mixture components will reduce the error of ...
Dwi Rantini, Nur Iriawan, Irhamah
doaj   +1 more source

Surrogate modeling approximation using a mixture of experts based on EM joint estimation [PDF]

, 2010
An automatic method to combine several local surrogate models is presented. This method is intended to build accurate and smooth approximation of discontinuous functions that are to be used in structural optimization problems.
Bartoli, Nathalie, Bettebghor, Dimitri, Grihon, Stéphane, Morlier, Joseph, Samuelides, Manuel   +4 more
core   +3 more sources

Video Compressive Sensing Using Gaussian Mixture Models [PDF]

IEEE Transactions on Image Processing, 2014
A Gaussian mixture model (GMM)-based algorithm is proposed for video reconstruction from temporally compressed video measurements. The GMM is used to model spatio-temporal video patches, and the reconstruction can be efficiently computed based on analytic expressions.
Yang, Jianbo, Yuan, Xin, Liao, Xuejun, Llull, Patrick, Brady, David J., Sapiro, Guillermo, Carin, Lawrence   +6 more
openaire   +2 more sources

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Dependent Gaussian mixture models for source separation [PDF]

EURASIP Journal on Advances in Signal Processing, 2012
Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
Quirós Carretero, Alicia, Wilson, Simon P   +1 more
openaire   +1 more source

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

Advanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie, David Kramer, Thomas Scheithauer, Hans Jürgen Maier, Thomas Hassel   +4 more
wiley   +1 more source

Bayesian inference of Gaussian mixture models with noninformative priors [PDF]

, 2014
This paper deals with Bayesian inference of a mixture of Gaussian distributions. A novel formulation of the mixture model is introduced, which includes the prior constraint that each Gaussian component is always assigned a minimal number of data points ...
Stoneking, Colin J.
core  

Reconstruction of electrons with the Gaussian-sum filter in the CMS tracker at LHC

, 2003
The bremsstrahlung energy loss distribution of electrons propagating in matter is highly non Gaussian. Because the Kalman filter relies solely on Gaussian probability density functions, it might not be an optimal reconstruction algorithm for electron ...
, A Strandlie, Bethe H, CMS Collaboration, CMS Collaboration, R Frühwirth, T Todorov, W Adam   +7 more
core   +4 more sources

Continuous Gaussian mixture modeling [PDF]

, 1997
When the projection of a collection of samples onto a subset of basis feature vectors has a Gaussian distribution, those samples have a generalized projective Gaussian distribution (GPGD). GPGDs arise in a variety of medical images as well as some speech recognition problems.
Stephen Aylward, Stephen Pizer
openaire   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source