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...
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Background: Parallel computing is frequently used to speed up computationally expensive tasks in Bioinformatics. Results: Herein, a parallel version of the multi-alignment program...
Martin Schmollinger, Kay Nieselt, Michael Kaufmann...
Pipeline architectures provide a versatile and efficient mechanism for constructing visualizations, and they have been implemented in numerous libraries and applications over the p...
John Biddiscombe, Berk Geveci, Ken Martin, Kenn...
We propose a biologically inspired and fully-decentralized approach to the organization of computation that is based on the autonomous scheduling of strongly mobile agents on a pe...
Arjav J. Chakravarti, Gerald Baumgartner, Mario La...