We consider the problem of repairing a database that is inconsistent wrt a set of integrity constraints by updating numerical values. In particular, we concentrate on denial integ...
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...
It is shown that structural similarity between proteins can be decided well with much less information than what is used in common similarity measures. The full C representation c...