Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...
Gossip-based broadcast algorithms have been considered as a viable alternative to traditional deterministic reliable broadcast algorithms in large scale environments. However, the...
We introduce a parallelization of the maximumlikelihood cosine transform. This transform consists of a computationally intensive iterative fitting process, but is readily decompo...
Hoda El-Sayed, Marc Salit, John Travis, Judith Ell...
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Motion Compensated Temporal Filtering (MCTF) has proved to be an efficient coding tool in the design of open-loop scalable video codecs. In this paper we propose a MCTF video codi...