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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...
Enterprise Zones for Former Military Bases:Some Empirical Evidence from California's LAMBRA Program
Military Bases Empirical Evidence LAMBRA Program
2009/7/15
LAMBRA is an enterprise zone program created by the state of California to encourage
commercial reuse of deactivated military bases. This paper reports results of an
exploratory study of LAMBRA!ˉ...