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JMLR
2002
111views more  JMLR 2002»
14 years 11 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
SIAMIS
2008
82views more  SIAMIS 2008»
14 years 11 months ago
Inpainting by Flexible Haar-Wavelet Shrinkage
We present novel wavelet-based inpainting algorithms. Applying ideas from anisotropic regularization and diffusion our models can better handle degraded pixels at edges. We interp...
R. H. Chan, Simon Setzer, Gabriele Steidl
DAGM
2011
Springer
13 years 11 months ago
Using Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
Marcel Lüthi, Christoph Jud, Thomas Vetter
AOR
2010
14 years 9 months ago
Sphere Methods for LP
The sphere method for solving linear programs operates with only a subset of constraints in the model in each iteration, and thus has the advantage of handling instances which may...
Katta G. Murty, Mohammad R. Oskoorouchi
ICIP
2005
IEEE
16 years 1 months ago
Learning-based super-resolution of 3D face model
Super resolution technique could produce a higher resolution image than the originally captured one. However, nearly all super-resolution algorithms aim at 2D images. In this pape...
Shiqi Peng, Gang Pan, Zhaohui Wu