Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an eļ...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We ļ¬rst create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
This paper shows the equivalence of applicative similarity and contextual approximation, and hence also of bisimilarity and contextual equivalence, in the deterministic call-by-nee...
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...