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» The Necessity of Combining Adaptation Methods
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BMCBI
2008
101views more  BMCBI 2008»
15 years 28 days ago
Reranking candidate gene models with cross-species comparison for improved gene prediction
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...
Qian Liu, Koby Crammer, Fernando C. N. Pereira, Da...
97
Voted
CGF
2010
163views more  CGF 2010»
15 years 28 days ago
Meshless Shape and Motion Design for Multiple Deformable Objects
We present physically based algorithms for interactive deformable shape and motion modeling. We coarsely sample the objects with simulation nodes, and apply a meshless finite elem...
Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael...
IJCV
1998
238views more  IJCV 1998»
15 years 14 days ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
FOCS
2010
IEEE
14 years 10 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
104
Voted
VRIPHYS
2010
14 years 7 months ago
Optimization-based Fluid Simulation on Unstructured Meshes
We present a novel approach to fluid simulation, allowing us to take into account the surface energy in a precise manner. This new approach combines a novel, topology-adaptive app...
Marek Krzysztof Misztal, Robert Bridson, Kenny Erl...