We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
Many tasks require users to extract information from diverse sources, to edit or process this information locally, and to explore how the end results are affected by changes in th...
The information resources on the Web are vast, but much of the Web is based on a browsing paradigm that requires someone to actively seek information. Instead, one would like to h...
Inspired by the underlying relationship between classification capability and the mutual information, in this paper, we first establish a quantitative model to describe the inform...
Many types of information available in a pervasive computing environment, such as people location information, should be accessible only by a limited set of people. Some propertie...