— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...
In this article we present interactive Focus and Context (F+C) visualizations for Augmented Reality (AR) applications. We demonstrate how F+C visualizations are used to affect the...
Abstract. To reason about programs, dynamic optimizers and analysis tools use sampling to collect a dynamic call graph (DCG). However, sampling has not achieved high accuracy with ...
Byeongcheol Lee, Kevin Resnick, Michael D. Bond, K...
We present a de-layered protocol engine for termination of 40Gbps TCP connections using a reconfigurable FPGA silicon platform. This protocol engine is designed for a planned att...