Le Borgne, Y.-A., Nowe, A., Steenhaut, K., & Bontempi, G. (2010). Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition. In T. Abdelzaher, T. Voigt, & A. Wolisz (Eds.), 9th (pp. 430-431). (International Conference on Information Processing in Sensor Networks). ACM.

@inbook{f60e6842873f412aa263733b93d026ed,
title = "Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition",
abstract = "The Principal Component Aggregation has recently been proposed as a versatile distributed information extraction technique for sensor networks. This demonstration illustrates its use for a network-level pattern recognition task. Four different patterns, or events, may be sensed by light measurements of a network of 27 nodes. The sensor measurements are fused on the fly along a routing tree up to the base station, where the monitored pattern is recognized by a prediction algorithm.",
keywords = "Sensor Networks, Distributed Principal Component Analysis, Pattern recognition",
author = "{Le Borgne}, Yann-A{\"e}l and Ann Nowe and Kris Steenhaut and Gianluca Bontempi",
note = "Tarek Abdelzaher, Thiemo Voigt, Adam Wolisz",
year = "2010",
month = apr,
day = "12",
language = "English",
isbn = "978-1-60558-988-6",
series = "International Conference on Information Processing in Sensor Networks",
publisher = "ACM",
pages = "430--431",
editor = "Tarek Abdelzaher and Thiemo Voigt and Adam Wolisz",
booktitle = "9th",
}