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ICCV
2007
IEEE
16 years 3 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
CIKM
2009
Springer
15 years 8 months ago
Packing the most onto your cloud
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Ashraf Aboulnaga, Ziyu Wang, Zi Ye Zhang
SC
2009
ACM
15 years 8 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
15 years 3 months ago
Evolving stable behavior in a spino-neuromuscular system model
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
Stanley Phillips Gotshall, Terry Soule
SIGGRAPH
1995
ACM
15 years 5 months ago
Creation and rendering of realistic trees
Recent advances in computer graphics have produced images approaching the elusive goal of photorealism. Since many natural objects are so complex and detailed, they are often not ...
Jason Weber, Joseph Penn