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AAAI
1993
13 years 6 months ago
Model Simplification by Asymptotic Order of Magnitude Reasoning
One of the hardest problems in reasoning about a physical system is finding an approximate model that is mathematically tractable and yet captures the essence of the problem. Appr...
Kenneth Man-kam Yip
FUZZIEEE
2007
IEEE
13 years 11 months ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
AFRIGRAPH
2009
ACM
13 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
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 6 months ago
Quick-VDR: Interactive View-Dependent Rendering of Massive Models
We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core re...
Sung-Eui Yoon, Brian Salomon, Russell Gayle, Dines...
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
14 years 1 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...