Foundations of statistical natural language processing
Foundations of statistical natural language processing
A hierarchical Bayesian language model based on Pitman-Yor processes
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A stochastic memoizer for sequence data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Lossless Compression Based on the Sequence Memoizer
DCC '10 Proceedings of the 2010 Data Compression Conference
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We introduce an intelligent cooperative control system for ground target tracking in a cluttered urban environment with a team of autonomous Unmanned Air Vehicles (UAVs). We extend the work of Yu et al. to use observations of target position to learn a model of target motion. Simulated cooperative control of a team of 9 UAVs in a 100-block city filled with various sizes of buildings verifies that learning a model of target motion can improve target tracking performance.