Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
A vertically integrated market consists of potentially competing companies who supply each other with products and services. Information technology can be employed to improve the b...
Comparing designs of sonifications is difficult enough but comparing a visual display with a sound display is much harder. Yet the designer of multi-sensory displays would like to...