With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
Different interconnection structures have been proposed to solve the performance limitation caused by scaling of on-chip global wires. In this paper, we give an overview of curre...
Yulei Zhang, Xiang Hu, Alina Deutsch, A. Ege Engin...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...
Walker M. White, Alan J. Demers, Christoph Koch, J...
In this paper, we present a semi-automatic approach to efficiently and robustly recover the characteristic feature curves of a given free-form surface. The technique supports a s...
Ellen Dekkers, Leif Kobbelt, Richard R. Pawlicki, ...