Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Record linkage is an important data integration task that has many practical uses for matching, merging and duplicate removal in large and diverse databases. However, a quadratic ...
Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Chr...
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
We are presenting techniques for simulating the motion and the deformation of cloth, fabrics or, more generally, deformable surfaces. Our main goal is to be able to simulate any k...
Pascal Volino, Martin Courchesne, Nadia Magnenat-T...