Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
We present two complementary methods for automatically improving mesh parameterizations and demonstrate that they provide a very desirable combination of efficiency and quality. ...
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
A general method to design optimal redundant sensor network even in the case of one sensor failure and able to estimate process key parameters within a required accuracy is propos...