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DNN-Based Indoor Localization

This repository is for the implementation of advanced DNN models for scalable indoor localization with Wi-Fi fingerprinting. In this work, we are to exploit single-input and multi-output models1 for flexible control of loss weights for different outputs; they are natural extensions of the multi-lable classifier that was investigated in the previous work.

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1 A special case of multi-input and multi-output models.

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Research on deep-neural-network-based indoor localization

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