A simple and general-purpose system to recognize biological particles is presented. It is composed of four stages. First (if necessary) promising locations in the image are detect...
Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R...
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Abstract: It is often challenging to reconstruct accurately a complete dynamic biological network due to the scarcity of data collected in cost-effective experiments. This paper ad...
We explore the capabilities of a robotic sensing system designed to locate objects underwater through active movement of an electric field emitter and sensor apparatus. The system ...
James R. Solberg, Kevin M. Lynch, Malcolm A. MacIv...
Model checking can be an effective technique for detecting concurrency-related errors in software systems. However, due to scalability issues, to handle industrial-strength softw...