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» On Computing Functions with Uncertainty
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BMCBI
2005
114views more  BMCBI 2005»
13 years 9 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
JCP
2007
108views more  JCP 2007»
13 years 9 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
CAD
2005
Springer
13 years 9 months ago
Parameterization and parametric design of mannequins
This paper presents a novel feature based parameterization approach of human bodies from the unorganized cloud points and the parametric design method for generating new models ba...
Charlie C. L. Wang
TOG
2008
140views more  TOG 2008»
13 years 9 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...
TOG
2008
92views more  TOG 2008»
13 years 9 months ago
Optimizing cubature for efficient integration of subspace deformations
We propose an efficient scheme for evaluating nonlinear subspace forces (and Jacobians) associated with subspace deformations. The core problem we address is efficient integration...
Steven S. An, Theodore Kim, Doug L. James
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