Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
An important form of prior information in clustering comes in form of cannot-link and must-link constraints. We present a generalization of the popular spectral clustering techniq...
The recent popularization of social web services has made them one of the primary uses of the World Wide Web. An important concept in social web services is social actions such as...
This paper proposes a lightweight fusion method for general recursive function definitions. Compared with existing proposals, our method has several significant practical features...
The solutions to many vision problems involve integrating measurements from multiple sources. Most existing methods rely on a hidden assumption, i.e., these measurements are consi...