Indoor localization in multi-floor environments with reduced effort

By Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, Qiang Yang. 2010

66 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Ocean Engineering, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. S. Chan
2. Suining He
3. Qiang Yang

In Ocean Engineering

1. S. Chan
2. Suining He
3. Qiang Yang

In Signal Processing

1. S. Chan
2. Suining He
3. Qiang Yang
4. Jialin Pan
5. Yu Zheng
6. Mingsheng Long
7. Jianmin Wang
8. Sinno Jialin Pan

Citations in the corpus

• Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “Inspired by this observation, Co-Embedding [134] proposes a new algorithm aiming at reducing multi-floor”
• A Survey of Transfer and Multitask Learning in Bioinformatics (2011, background): “, image [9] and video [10] analysis), and ubiquitous computing [11, 12].”
• Feature-based transfer learning with real-world applications (2010, background): “For example, transfer learning techniques were proposed to extract knowledge from WiFi localization models across time periods [217, 136, 230], space [138, 194] and mobile devices [229], to benefit WiFi localization tasks in other settings.”