Determining relationships such as functional or inclusion dependencies within and across databases is important for many applications in information integration. When such informa...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
In this paper, we develop a new method for recovering and smoothing fields of surface normals in shape-fromshading. We show how transform the problem of recovering surface normals...
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...