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TSP
2008
101views more  TSP 2008»
14 years 9 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
CPHYSICS
2004
87views more  CPHYSICS 2004»
14 years 9 months ago
Vlasov simulations on an adaptive phase-space grid
We introduce here a new method for the numerical resolution of the Vlasov equation on a phase space grid using an adaptive semi-Lagrangian method. The adaptivity is obtained throu...
Michael Gutnic, Matthieu Haefele, I. Paun, Eric So...
IDA
2002
Springer
14 years 9 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
COMGEO
1999
ACM
14 years 9 months ago
Multiresolution hierarchies on unstructured triangle meshes
The use of polygonal meshes for the representation of highly complex geometric objects has become the de facto standard in most computer graphics applications. Especially triangle...
Leif Kobbelt, Jens Vorsatz, Hans-Peter Seidel
TIP
1998
99views more  TIP 1998»
14 years 9 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
Scott T. Acton, Alan C. Bovik
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