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» Approximate algorithms for neural-Bayesian approaches
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SIGGRAPH
1993
ACM
15 years 1 months ago
Wavelet radiosity
Radiosity methods have been shown to be an effective means to solve the global illumination problem in Lambertian diffuse environments. These methods approximate the radiosity int...
Steven J. Gortler, Peter Schröder, Michael F....
ATAL
2006
Springer
15 years 1 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith
JOBIM
2000
15 years 1 months ago
InterDB, a Prediction-Oriented Protein Interaction Database for C. elegans
Protein-protein interactions are critical to many biological processes, extending from the formation of cellular macromolecular structures and enzymatic complexes to the regulation...
Nicolas Thierry-Mieg, Laurent Trilling
RSS
2007
119views Robotics» more  RSS 2007»
14 years 11 months ago
Emergent Task Allocation for Mobile Robots
— Multi-robot systems require efficient and accurate planning in order to perform mission-critical tasks. However, algorithms that find the optimal solution are usually computa...
Nuzhet Atay, O. Burçhan Bayazit
CGF
2010
156views more  CGF 2010»
14 years 9 months ago
Mixed Finite Elements for Variational Surface Modeling
Many problems in geometric modeling can be described using variational formulations that define the smoothness of the shape and its behavior w.r.t. the posed modeling constraints....
Alec Jacobson, Elif Tosun, Olga Sorkine, Denis Zor...