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» Applications of multi-objective structure optimization
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CVPR
2010
IEEE
15 years 9 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
IPPS
2006
IEEE
15 years 7 months ago
A performance model for fine-grain accesses in UPC
UPC’s implicit communication and fine-grain programming style make application performance modeling a challenging task. The correspondence between remote references and communi...
Zhang Zhang, S. R. Seidel
CVPR
2003
IEEE
16 years 3 months ago
Polydioptric Camera Design and 3D Motion Estimation
Most cameras used in computer vision applications are still based on the pinhole principle inspired by our own eyes. It has been found though that this is not necessarily the opti...
Cornelia Fermüller, Jan Neumann, Yiannis Aloi...
BMCBI
2008
114views more  BMCBI 2008»
15 years 1 months ago
Testing the Coulomb/Accessible Surface Area solvent model for protein stability, ligand binding, and protein design
Background: Protein structure prediction and computational protein design require efficient yet sufficiently accurate descriptions of aqueous solvent. We continue to evaluate the ...
Marcel Schmidt am Busch, Anne Lopes, Najette Amara...
BMVC
2010
14 years 11 months ago
Manifold Learning for Multi-Modal Image Registration
The standard approach to multi-modal registration is to apply sophisticated similarity metrics such as mutual information. The disadvantage of these measures, in contrast to simpl...
Christian Wachinger, Nassir Navab