Markov random field modeling for map** geofluid distributions from seismic velocity structures
We applied the Markov random field model, which is a kind of a Bayesian probabilistic
method, to the spatial inversion of the porosity and pore shape in rocks from an observed …
method, to the spatial inversion of the porosity and pore shape in rocks from an observed …
Markov-random-field modeling for linear seismic tomography
We apply the Markov-random-field model to linear seismic tomography and propose a
method to estimate the hyperparameters for the smoothness and the magnitude of the noise …
method to estimate the hyperparameters for the smoothness and the magnitude of the noise …
Precise estimation of pressure–temperature paths from zoned minerals using Markov random field modeling: theory and synthetic inversion
The chemical zoning profile in metamorphic minerals is often used to deduce the pressure–
temperature (P–T) history of rock. However, it remains difficult to restore detailed paths from …
temperature (P–T) history of rock. However, it remains difficult to restore detailed paths from …
Multidimensional bin-width optimization for histogram and its application to four-dimensional neutron inelastic scattering data
K Muto, H Sakamoto, K Matsuura, T Arima… - Journal of the Physical …, 2019 - journals.jps.jp
We propose a method for optimizing bin widths for multidimensional histograms. The
optimization criterion is based on a cost function representing the tradeoff between the …
optimization criterion is based on a cost function representing the tradeoff between the …
Inference in alpha rhythm phase and amplitude modeled on Markov random field using belief propagation from electroencephalograms
Alpha rhythm is a major component of spontaneous electroencephalographic (EEG) data.
We develop a novel method that can be used to estimate the instantaneous phases and …
We develop a novel method that can be used to estimate the instantaneous phases and …
機器分析と食品の 「おいしさ」 解析
鈴木俊之 - 熱測定, 2020 - jstage.jst.go.jp
抄録 Analytical instruments which has been gradually improved are widely used to get
various property of analyte. Those techniques give analysts much bigger data that makes …
various property of analyte. Those techniques give analysts much bigger data that makes …
Approximate bayesian estimation of varying binomial process
Bayesian methods are often applied for estimating the event rate from a series of event
occurrences. However, the Bayesian posterior distribution requires the computation of the …
occurrences. However, the Bayesian posterior distribution requires the computation of the …
[PDF][PDF] Efficient Analysis of Event Data and Application for Optimal Termination
K Muto, M Okada - repository.dl.itc.u-tokyo.ac.jp
In recent years, a large amount of four-dimensional event data have been obtainable in
neutron inelastic scattering experiments conducted by chopper spectrometers at Japan …
neutron inelastic scattering experiments conducted by chopper spectrometers at Japan …