In this paper we evaluate several of the most popular algorithms for segmenting fixations from saccades by testing these algorithms on the scanning patterns of toddlers. We show t...
Frederick Shic, Brian Scassellati, Katarzyna Chawa...
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
Fine-grained dynamic voltage/frequency scaling (DVFS) demonstrates great promise for improving the energy-efficiency of chip-multiprocessors (CMPs), which have emerged as a popula...
Cake cutting is a common metaphor for the division of a heterogeneous divisible good. There are numerous papers that study the problem of fairly dividing a cake; a small number of...
Yiling Chen, John Lai, David C. Parkes, Ariel D. P...
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...