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» Complexity of Inference in Graphical Models
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VISUALIZATION
2002
IEEE
14 years 3 months ago
Exploring Surface Characteristics with Interactive Gaussian Images (A Case Study)
The Gauss map projects surface normals to a unit sphere, providing a powerful visualization of the geometry of a graphical object. It can be used to predict visual events caused b...
Bradley C. Lowekamp, Penny Rheingans, Terry S. Yoo
TOG
2008
106views more  TOG 2008»
13 years 10 months ago
Real-time control of physically based simulations using gentle forces
Recent advances have brought real-time physically based simulation within reach, but simulations are still difficult to control in real time. We present interactive simulations of...
Jernej Barbic, Jovan Popovic
TOG
2002
162views more  TOG 2002»
13 years 9 months ago
Interactive skeleton-driven dynamic deformations
This paper presents a framework for the skeleton-driven animation of elastically deformable characters. A character is embedded in a coarse volumetric control lattice, which provi...
Steve Capell, Seth Green, Brian Curless, Tom Ducha...
AI
2011
Springer
13 years 5 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 11 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu