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Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
Variational Bayesian inference posterior image distribution image reconstruction hyperparameter estimation MRFM experiment
2013/5/2
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To solve this semi-blind d...
Minimal and minimal invariant Markov bases of decomposable models for contingency tables
chordal graph Grobner bases independence graph invariance minimality symmetric group
2010/4/26
We study Markov bases of decomposable graphical models consisting of primitive moves (i.e.,
square-free moves of degree two) by determining the structure of fibers of sample size two.
We show that t...
Measures of Analysis of Time Series (MATS):A MATLAB Toolkit for Computation of Multiple Measures on Time Series Data Bases
time series analysis data bases nonlinear dynamics statistical measures MATLAB software changedetection surrogate data
2010/3/10
In many applications, such as physiology and finance, large time series data bases are to be analyzed requiring
the computation of linear, nonlinear and other measures. Such measures have been develo...