Transferring Localization Models across Space
By Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok. 2008
72 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Diane Joyce Cook
- Joey Tianyi Zhou
- Qiang Yang
- Sinno Jialin Pan
- Mingsheng Long
- Narayanan Chatapuram Krishnan
- Ivor Wai-Hung Tsang
- Kyle D. Feuz
Citations in the corpus
- A Survey on Transfer Learning (2010, background): “In [75], [76], [77], [78], [79], transfer learning techniques are proposed to extract knowledge from WiFi localization models across time periods, space, and mobile devices, to benefit WiFi 1354 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 22, NO. 10, OCTOBER 2010 7.”
- Transfer Learning for Activity Recognition: A Survey (2013, methodology): “[49] Wearables Space, location US Parameter-based”
- Heterogeneous Domain Adaptation for Multiple Classes (2014, methodology): “have been successfully applied to various real-world applications, such as WiFi-based localization [23, 24], image classification [35], video concept detection [14], sentiment analysis [5, 28], coreference resolution [32], vehicle routing [18], game playing [4], etc.”