Applied multivariate statistical analysis
Applied multivariate statistical analysis
Sparse Approximate Solutions to Linear Systems
SIAM Journal on Computing
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Approximation of functions over redundant dictionaries using coherence
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Proceedings of the 3rd international conference on Embedded networked sensor systems
Algorithms for subset selection in linear regression
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
A generic multi-scale modeling framework for reactive observing systems: an overview
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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Observing systems facilitate scientific studies by instrumenting the real world and collecting corresponding measurements, with the aim of detecting and tracking phenomena of interest. Our AMBROSia project focuses on a class of observing systems which are embeddedinto the environment, consist of stationary and mobilesensors, and reactto collected observations by reconfiguring the system and adapting which observations are collected next. In this paper, we report on recent research directions and corresponding results in the context of AMBROSia.