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Online Co-Localization in Indoor Wireless Networks by Dimension Reduction

Overview This paper addresses the problem of recovering the locations of both mobile devices and access points from radio signals that come in a stream manner, a problem which is called online co-localization, by exploiting both labeled and unlabeled data from mobile devices and access points. Many tracking systems function in two phases: an offline training phase and an online localization phase. In the training phase, models are built from a batch of data that are collected offline. Many of them can not cope with a dynamic environment in which calibration data may come sequentially. In such case, these systems may gradually become inaccurate without a manually costly re-calibration.

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Publisher
Association for the Advancement of Artificial Intelligence
File Format
PDF
Date Published
Aug 23, 2007
Format
White Papers
Topics
Streaming Media, Mobile - Wireless Communications

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