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Distributed sparse approximation for frog sound classification

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Distributed sparse approximation for frog sound classification. / Wei, Bo; Yang, Mingrui; Rana, Rajib Kumar et al.
Proceedings of the 11th international conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM), 2012. p. 105-106.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Wei, B, Yang, M, Rana, RK, Chou, CT & Hu, W 2012, Distributed sparse approximation for frog sound classification. in Proceedings of the 11th international conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM), pp. 105-106. https://doi.org/10.1145/2185677.2185699

APA

Wei, B., Yang, M., Rana, R. K., Chou, C. T., & Hu, W. (2012). Distributed sparse approximation for frog sound classification. In Proceedings of the 11th international conference on Information Processing in Sensor Networks (pp. 105-106). Association for Computing Machinery (ACM). https://doi.org/10.1145/2185677.2185699

Vancouver

Wei B, Yang M, Rana RK, Chou CT, Hu W. Distributed sparse approximation for frog sound classification. In Proceedings of the 11th international conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM). 2012. p. 105-106 doi: 10.1145/2185677.2185699

Author

Wei, Bo ; Yang, Mingrui ; Rana, Rajib Kumar et al. / Distributed sparse approximation for frog sound classification. Proceedings of the 11th international conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM), 2012. pp. 105-106

Bibtex

@inproceedings{b73c3c9b86834a2a892db25380b6bd4a,
title = "Distributed sparse approximation for frog sound classification",
abstract = "Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on`1minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that `1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy",
author = "Bo Wei and Mingrui Yang and Rana, {Rajib Kumar} and Chou, {Chun Tung} and Wen Hu",
year = "2012",
month = apr,
day = "20",
doi = "10.1145/2185677.2185699",
language = "English",
isbn = "9781450312271",
pages = "105--106",
booktitle = "Proceedings of the 11th international conference on Information Processing in Sensor Networks",
publisher = "Association for Computing Machinery (ACM)",

}

RIS

TY - GEN

T1 - Distributed sparse approximation for frog sound classification

AU - Wei, Bo

AU - Yang, Mingrui

AU - Rana, Rajib Kumar

AU - Chou, Chun Tung

AU - Hu, Wen

PY - 2012/4/20

Y1 - 2012/4/20

N2 - Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on`1minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that `1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy

AB - Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on`1minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that `1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy

U2 - 10.1145/2185677.2185699

DO - 10.1145/2185677.2185699

M3 - Conference contribution/Paper

SN - 9781450312271

SP - 105

EP - 106

BT - Proceedings of the 11th international conference on Information Processing in Sensor Networks

PB - Association for Computing Machinery (ACM)

ER -