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» An Adaptive Supersampling Method
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214
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ECCV
2004
Springer
16 years 25 days ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
GECCO
2004
Springer
327views Optimization» more  GECCO 2004»
16 years 25 days ago
Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest poss...
Ivan Tanev, Thomas S. Ray, Andrzej Buller
CGO
2003
IEEE
16 years 22 days ago
Adaptive Online Context-Sensitive Inlining
As current trends in software development move toward more complex object-oriented programming, inlining has become a vital optimization that provides substantial performance impr...
Kim M. Hazelwood, David Grove
177
Voted
ISCAS
2003
IEEE
92views Hardware» more  ISCAS 2003»
16 years 22 days ago
Motion adaptive de-interlacing by horizontal motion detection and enhanced ELA processing
A motion adaptive de-interlacing algorithm and its hardware architecture are presented in this paper. It consists the directional interpolation - ELA with median processing, and 4...
Shyh-Feng Lin, Yu-Lin Chang, Liang-Gee Chen
204
Voted
PG
2003
IEEE
16 years 22 days ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin