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NIPS
2008
15 years 3 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
EGH
2007
Springer
15 years 8 months ago
Programmable shaders for deformation rendering
In this paper, we present a method for rendering deformations as part of the programmable shader pipeline of contemporary Graphical Processing Units. In our method, we allow gener...
Carlos D. Correa, Deborah Silver
CGI
2003
IEEE
15 years 7 months ago
Fast Volumetric Display of Natural Gaseous Phenomena
Mesh simplification algorithms play an important role in computer graphics. In particular, view-dependent simplification methods are utilized widely to reduce the geometric comp...
Stefan Röttger, Thomas Ertl
DCG
2002
62views more  DCG 2002»
15 years 2 months ago
Degrees of Real Wronski Maps
We study the map which sends vectors of polynomials into their Wronski determinants. This defines a projection map of a Grassmann variety which we call a Wronski map. Our main res...
A. Eremenko, Andrei Gabrielov
TOG
2008
127views more  TOG 2008»
15 years 2 months ago
Freeform surfaces from single curved panels
Motivated by applications in architecture and manufacturing, we discuss the problem of covering a freeform surface by single curved panels. This leads to the new concept of semi-d...
Helmut Pottmann, Alexander Schiftner, Pengbo Bo, H...