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- W2553673710 abstract "In this paper, the deployment of wireless network is analyzed in accordance with the manifold distribution. Next, the previous Locality Preserving Canonical Correlation Analysis (LPCCA) algorithm is used to build a mapping from the signal-vector space to the physical location space and develop a location algorithm, Location Estimation-Locality Preserving Canonical Correlation Analysis (LE-LPCCA, for short), which sufficiently takes the local structure of the network topology into account. Finally, experimental results on benchmark show that this method achieves a higher accuracy and stability than other location algorithms." @default.
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- W2553673710 date "2010-01-01" @default.
- W2553673710 modified "2023-09-23" @default.
- W2553673710 title "Localization in Wireless Sensor Network Using Locality Preserving Canonical Correlation Analysis" @default.
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