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AFRIGRAPH
2009
ACM
15 years 9 months ago
Analytic simplification of animated characters
Traditionally, levels of detail (LOD) for animated characters are computed from a single pose. Later techniques refined this approach by considering a set of sample poses and eval...
Bruce Merry, Patrick Marais, James E. Gain
252
Voted
ATAL
2006
Springer
15 years 8 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
CLIN
2003
15 years 6 months ago
On the Statistical Consistency of DOP Estimators
A statistical estimator attempts to guess an unknown probability distribution by analyzing a sample from this distribution. One desirable property of an estimator is that its gues...
Detlef Prescher, Remko Scha, Khalil Sima'an, Andre...
AAAI
1997
15 years 6 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
CAD
2006
Springer
15 years 5 months ago
Incremental reconstruction of sharp edges on mesh surfaces
Limited by the regular grids in computing, many modelling approaches (e.g., field-based methods) sample 3D shape insensitive to sharp features therefore exhibit aliasing errors, b...
Charlie C. L. Wang