A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Recently, a novel approach to pattern matching was introduced, which reduces time complexity by two orders of magnitude over traditional approaches. It uses an efficient projectio...
Spectral decomposition of mesh geometry has first been introduced by Taubin for geometry processing purposes. It has been extended to address transmission issues by Karni & Go...
The feedback loop for temporal prediction of traditional implementations of an MPEG-compliant video coder requires conversion of images from the spatial domain to the transform do...