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ICPR
2006
IEEE
15 years 11 months ago
Euclidean Reconstruction of Deformable Structure Using a Perspective Camera with Varying Intrinsic Parameters
In this paper we present a novel approach for the 3D Euclidean reconstruction of deformable objects observed by a perspective camera with variable intrinsic parameters. We formula...
Alessio Del Bue, Lourdes de Agapito, Xavier Llad&o...
CIKM
2006
Springer
15 years 1 months ago
Optimisation methods for ranking functions with multiple parameters
Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...
IJCAI
2003
14 years 11 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
BMCBI
2007
113views more  BMCBI 2007»
14 years 10 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
MCS
2008
Springer
14 years 10 months ago
Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
The purpose of this paper is to present some numerical tools which facilitate the interpretation of simulation or data fitting results and which allow to compute optimal experimen...
Klaus Schittkowski