We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
This work provides a systematic study of the impact of communication performance on parallelapplications in a high performance network of workstations. We develop an experimental ...
Richard P. Martin, Amin Vahdat, David E. Culler, T...
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
The growing interest in ad hoc wireless network applications that are made of large and dense populations of lightweight system resources calls for scalable approaches to fault to...
Using multiple independent networks (also known as rails) is an emerging technique to overcome bandwidth limitations and enhance fault tolerance of current high-performance parall...
Salvador Coll, Eitan Frachtenberg, Fabrizio Petrin...