We present a novel local region approach for statistically characterizing appearance in the context of medical image segmentation via deformable models. Our appearance model refl...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
We present a new method of fitting an element-free volumetric model to a sequence of deforming surfaces of a moving object. Given a sequence of visual hulls, we iteratively fit an...
Jaeil Choi, Andrzej Szymczak, Greg Turk, Irfan A. ...
We construct a mixture of locally linear generative models of a collection of pixel-based images of digits, and use them for recognition. Different models of a given digit are use...
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...