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IJDMB
2008
132views more  IJDMB 2008»
15 years 3 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
JMLR
2010
106views more  JMLR 2010»
14 years 9 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
TOG
2012
237views Communications» more  TOG 2012»
13 years 5 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
ICCAD
2006
IEEE
133views Hardware» more  ICCAD 2006»
15 years 12 months ago
Stable and compact inductance modeling of 3-D interconnect structures
Recent successful techniques for the efficient simulation of largescale interconnect models rely on the sparsification of the inverse of the inductance matrix L. While there are...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...
CRV
2007
IEEE
138views Robotics» more  CRV 2007»
15 years 9 months ago
Terrain Modelling for Planetary Exploration
The success of NASA’s Mars Exploration Rovers has demonstrated the important benefits that mobility adds to planetary exploration. Very soon, mission requirements will impose t...
Ioannis M. Rekleitis, Jean-Luc Bedwani, Sebastien ...