海报摘要:蛙声分类的分布稀疏近似

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI:10.1145/2185677.2185699

Bo Wei, Mingrui Yang, R. Rana, C. Chou, W. Hu

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引用次数: 6

摘要

稀疏逼近目前已成为众多分类研究领域的热门词汇。针对资源受限的无线传感器网络，提出了一种基于1最小化的分布式稀疏逼近蛙声分类方法。我们的初步研究表明，最小化算法可以在无线传感器节点上运行，并产生令人满意的分类精度。

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Poster abstract: Distributed sparse approximation for frog sound classification

Sparse approximation has now become a buzzword for classification in numerous research domains. We propose a distributed sparse approximation method based on ℓ1 minimization for frog sound classification, which is tailored to the resource constrained wireless sensor networks. Our pilot study demonstrates that ℓ1 minimization can run on wireless sensor nodes producing satisfactory classification accuracy.

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2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

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