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» Importance sampling of compounding processes
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101
Voted
VLDB
2007
ACM
139views Database» more  VLDB 2007»
15 years 7 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Mingxi Wu, Chris Jermaine
74
Voted
ICASSP
2011
IEEE
14 years 4 months ago
A mode preserving particle filter
A new particle filtering technique is proposed which addresses the problem of mode preservation in the approximation of multi-modal posteriors. The key is a resampling step which...
Mark R. Morelande, Alan M. Zhang
113
Voted
DSP
2006
15 years 24 days ago
On the application of cross correlation function to subsample discrete time delay estimation
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
Lei Zhang 0006, Xiaolin Wu
BMCBI
2010
152views more  BMCBI 2010»
15 years 27 days ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto
187
Voted
VLDB
2009
ACM
182views Database» more  VLDB 2009»
16 years 1 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine