In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
— Several recently-designed robots are able to scale steep surfaces using animal-inspired strategies for foot attachment and leg kinematics. These designs could be valuable for r...
Kathryn A. Daltorio, Timothy C. Witushynsky, Grego...
— Recent years have seen an explosion of research on the computational modeling of human visual attention in task free conditions, i.e., given an image predict where humans are l...
Nicholas J. Butko, Lingyun Zhang, Garrison W. Cott...
—Capsule endoscopy is a promising technique for diagnosing diseases in the small intestines. Here we propose a miniature swimming mechanism that uses MRI’s magnetic fields for ...
Gabor Kosa, Peter Jakab, Ferenc A. Jolesz, Nobuhik...
In this paper, we propose an FDB based intra-Domain Traceback System (FDB-DTS), which is a hybrid traceback system composed of packet digesting boxes and an iterative query engine...