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» Complexity of Inference in Graphical Models
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SIGGRAPH
2000
ACM
15 years 6 months ago
Out-of-core simplification of large polygonal models
We present an algorithm for out-of-core simplification of large polygonal datasets that are too complex to fit in main memory. The algorithm extends the vertex clustering scheme o...
Peter Lindstrom
109
Voted
TOG
2010
97views more  TOG 2010»
14 years 9 months ago
A practical simulation of dispersed bubble flow
In this paper, we propose a simple and efficient framework for simulating dispersed bubble flow. Instead of modeling the complex hydrodynamics of numerous small bubbles explicitly...
Doyub Kim, Oh-Young Song, Hyeong-Seok Ko
CONTEXT
1999
Springer
15 years 6 months ago
The Pragmatic Roots of Context
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
Bruce Edmonds
149
Voted
SSPR
2004
Springer
15 years 7 months ago
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
154
Voted
ICML
2009
IEEE
16 years 3 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...