Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
Spatial relations are essential for understanding the image configuration and modeling common sense knowledge. In most of existing methods, topological, directional and distance s...
Abstract. Current approaches to parallel I/O demand extensive user effort to obtain acceptable performance. This is in part due to difficulties in understanding the characteristics...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
Ubiquitous computing environment has become more popular as a highly open, heterogeneous and service-rich domain, which makes it essential and important for end-users to build a r...
This research explores distributed sensing techniques for mobile devices using synchronous gestures. These are patterns of activity, contributed by multiple users (or one user wit...