We present a scalable approach to tree detection in large urban landscapes using aerial LiDAR data. Similar to our previous work in 2006, our current method consists of segmentati...
We present the design and evaluation of an on-thefly data-race-detection technique that handles applications written for the lazy release consistent (LRC) shared memory model. We ...
Data races indicate serious concurrency bugs such as order, atomicity, and sequential consistency violations. Races are difficult to find and fix, often manifesting only in deploy...
Michael D. Bond, Katherine E. Coons, Kathryn S. Mc...
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of web us...