Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system
Published: Jul 1, 2014
Abstract
As an important technology in LBS (Location Based Services) field, Wi-Fi based indoor localization suffers signal fluctuation problem which prevents lifelong and high performance running. With the fluctuation of wireless signal over time, fingerprints collected at the same location become different; therefore existing model cannot fit the new collected data well, which decreases the localization accuracy. In this paper, a novel indoor...
Paper Details
Title
Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system
Published Date
Jul 1, 2014
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