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Understanding human intention and performing different activities automatically is one of the key problems in pervasive computing. In this paper, a new location-based search computing framework (LoSeCo) is proposed to allow one's pervasive device to augment search devices. The objective of our problem is to recognize the real-time user goal through goal inference from traditional Wi-Fi localization...
In a Wi-Fi based indoor localization system (WILS), mobile clients use received Wi-Fi signal strength to determine their locations. A major problem is the variation of signal distributions caused by multiple factors, which makes the old localization model inaccurate. Therefore, the transfer learning problem in a WILS aims to transfer the knowledge from an old model to a new one. In this paper, we...
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