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...
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
Abstract--In this paper, we investigate possible timecorrelation of answered call arrivals in sets of real GSM telephone traffic data. Instead of attempting to model the empirical ...
Background: It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not ...
Lachlan James M. Coin, Alex Bateman, Richard Durbi...
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...