Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Packet processing systems maintain high throughput despite relatively high memory latencies by exploiting the coarse-grained parallelism available between packets. In particular, ...
Optimizing user experience for streaming video applications on handheld devices is a significant research challenge. In this paper, we propose an integrated power management appr...
Shivajit Mohapatra, Radu Cornea, Nikil D. Dutt, Al...
We present ongoing work on a project for automatic recognition of spontaneous facial actions. Spontaneous facial expressions differ substantially from posed expressions, similar t...
Bjorn Braathen, Marian Stewart Bartlett, Gwen Litt...