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Optimizing Sensing: From Water to the Web
August 2009 (vol. 42 no. 8)
pp. 38-45
ASCII Text
x 
 
Andreas Krause, Carlos Guestrin, "Optimizing Sensing: From Water to the Web," Computer, vol. 42, no. 8, pp. 38-45, August, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MC.2009.265,
author = {Andreas Krause and Carlos Guestrin},
title = {Optimizing Sensing: From Water to the Web},
journal ={Computer},
volume = {42},
number = {8},
issn = {0018-9162},
year = {2009},
pages = {38-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2009.265},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Optimizing Sensing: From Water to the Web
IS - 8
SN - 0018-9162
SP38
EP45
EPD - 38-45
A1 - Andreas Krause,
A1 - Carlos Guestrin,
PY - 2009
KW - Information gathering
KW - Observation selection
KW - Submodular functions
KW - Environmental monitoring
KW - Information overload
KW - Blogs
KW - Active learning
VL - 42
JA - Computer
ER -
 
Andreas Krause, California Institute of Technology
Carlos Guestrin, Carnegie Mellon University
Where should we place sensors to quickly detect contamination in drinking water distribution networks? Which blogs should we read to learn about the biggest stories on the Web? Such problems are typically NP-hard in theory and extremely challenging in practice. The authors present algorithms that exploit submodularity to efficiently find provably near-optimal solutions to large, complex real-world sensing problems.

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Index Terms:
Information gathering, Observation selection, Submodular functions, Environmental monitoring, Information overload, Blogs, Active learning
Citation:
Andreas Krause, Carlos Guestrin, "Optimizing Sensing: From Water to the Web," Computer, vol. 42, no. 8, pp. 38-45, Aug. 2009, doi:10.1109/MC.2009.265
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