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» Isosurfaces on Optimal Regular Samples
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ADCM
2010
59views more  ADCM 2010»
13 years 9 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
GIS
2009
ACM
14 years 1 days ago
Opportunistic sampling in wireless sensor networks
In an active WSN where user queries are regularly processed, a significant proportion of nodes relay and overhear data generated by other nodes in the network. In this paper, we ...
Muhammad Umer, Egemen Tanin, Lars Kulik
NIPS
1996
13 years 10 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
ICIP
1999
IEEE
14 years 1 months ago
Wavelet-Domain Regularized Deconvolution for ILL-Conditioned Systems
by 0. In the discrete Fourier transform (DFT) domain, We propose a hybrid approach to wavelet-based image deconvolution that comprises Fourier-domain system inversion followed by w...
Ramesh Neelamani, Hyeokho Choi, Richard G. Baraniu...
3DPVT
2004
IEEE
188views Visualization» more  3DPVT 2004»
14 years 17 days ago
3D Shape Registration using Regularized Medial Scaffolds
This paper proposes a novel method for global registration based on matching 3D medial structures of unorganized point clouds or triangulated meshes. Most practical known methods ...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...