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...
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...
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
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...
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...