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NIPS
2007
15 years 5 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
123
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WSCG
2004
143views more  WSCG 2004»
15 years 5 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
122
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COMCOM
2008
72views more  COMCOM 2008»
15 years 3 months ago
Stochastic analysis of the interplay between object maintenance and churn
Due to the prevalence of peer dynamics (i.e., churn), object maintenance becomes a fundamental issue in peer-to-peer storage systems. Although quite a few prototypes have been des...
Di Wu, Ye Tian, Kam-Wing Ng, Anwitaman Datta
143
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CONSTRAINTS
2007
122views more  CONSTRAINTS 2007»
15 years 3 months ago
Stochastic Local Search Algorithms for Graph Set T -colouring and Frequency Assignment
The graph set T-colouring problem (GSTCP) generalises the classical graph colouring problem; it asks for the assignment of sets of integers to the vertices of a graph such that co...
Marco Chiarandini, Thomas Stützle
141
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JGTOOLS
2006
111views more  JGTOOLS 2006»
15 years 3 months 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...