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137
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BMCBI
2005
152views more  BMCBI 2005»
15 years 2 months ago
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem
Background: The protein folding problem is a fundamental problems in computational molecular biology and biochemical physics. Various optimisation methods have been applied to for...
Alena Shmygelska, Holger H. Hoos
199
Voted
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
109
Voted
PVLDB
2010
104views more  PVLDB 2010»
15 years 1 months ago
MCDB-R: Risk Analysis in the Database
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
135
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
109
Voted
SIGGRAPH
2000
ACM
15 years 7 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth