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» Detection of Stochastic Processes
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JGTOOLS
2006
111views more  JGTOOLS 2006»
15 years 22 days ago
Stochastic Billboard Clouds for Interactive Foliage Rendering
We render tree foliage levels of detail (LODs) using a new adaptation of billboard clouds. Our contributions are a simple and efficient billboard cloud creation algorithm designed...
J. Dylan Lacewell, David Edwards, Peter Shirley, W...
JPDC
2006
175views more  JPDC 2006»
15 years 22 days ago
Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines
Virtualization provides a vehicle to manage the available resources and enhance their utilization in network computing. System dynamics requires virtual machines be distributed an...
Song Fu, Cheng-Zhong Xu
129
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TIP
2002
147views more  TIP 2002»
15 years 13 days ago
Stochastic differential equations and geometric flows
In recent years, curve evolution, applied to a single contour or to the level sets of an image via partial differential equations, has emerged as an important tool in image process...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
ACL
2009
14 years 10 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
115
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CMSB
2010
Springer
14 years 7 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl