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CGF
2010
156views more  CGF 2010»
15 years 5 months ago
Mixed Finite Elements for Variational Surface Modeling
Many problems in geometric modeling can be described using variational formulations that define the smoothness of the shape and its behavior w.r.t. the posed modeling constraints....
Alec Jacobson, Elif Tosun, Olga Sorkine, Denis Zor...
164
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BMCBI
2006
111views more  BMCBI 2006»
15 years 4 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
JAPLL
2008
91views more  JAPLL 2008»
15 years 4 months ago
Undoing the effects of action sequences
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Thomas Eiter, Esra Erdem, Wolfgang Faber
JPDC
2007
147views more  JPDC 2007»
15 years 4 months ago
Energy optimal data propagation in wireless sensor networks
We propose an algorithm to compute the optimal parameters of a probabilistic data propagation algorithm for wireless sensor networks (WSN). The probabilistic data propagation algo...
Olivier Powell, Pierre Leone, José D. P. Ro...
BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
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