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1-3 of 3 Reviews about "
Smoothing (I.4.3...)
":
Date Reviewed
Bayesian filtering and smoothing
Särkkä S., Cambridge University Press, New York, NY, 2013. 254 pp. Type: Book (978-1-107619-28-9), Reviews: (2 of 2)
Readers interested in the estimation of actual system states on the basis of measurements will be interested in this book, especially if they are looking for an easy method to refresh the related material they know from journal papers ...
Sep 5 2014
Bayesian filtering and smoothing
Särkkä S., Cambridge University Press, New York, NY, 2013. 254 pp. Type: Book (978-1-107619-28-9), Reviews: (1 of 2)
Bayesian methods are named for the great mathematician, Thomas Bayes. They have found application in almost all fields of applied statistics and signal processing. Among the various filtering methods available, Bayesian filtering and s...
Mar 3 2014
On semismooth Newton’s methods for total variation minimization
Ng M., Qi L., Yang Y., Huang Y. Journal of Mathematical Imaging and Vision 27(3): 265-276, 2007. Type: Article
Ng et al. present a generalization of a theorem proven by A. Chambolle [1], where an
L
2
regularization of the total variation norm (min
u
TV(
u
) + 1/2&lgr...
Jan 2 2008
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