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SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization
  Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs

SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs

24 August 2024
Zhe Tang
Sihao Li
Zichen Huang
Guandong Yang
Kyeong Soo Kim
Jeremy S. Smith
ArXiv (abs)PDFHTML

Papers citing "SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs"

4 / 4 papers shown
Title
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi
  Fingerprinting: A Discussion from a Data Perspective
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
Zhe Tang
Ruocheng Gu
Sihao Li
Kyeong Soo Kim
Jeremy S. Smith
25
6
0
20 Feb 2024
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization
  with Deep Learning
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
Liping Wang
Saideep Tiku
S. Pasricha
60
32
0
02 Jul 2021
LIMITS: Lightweight Machine Learning for IoT Systems with Resource
  Limitations
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
Benjamin Sliwa
Nico Piatkowski
Christian Wietfeld
41
40
0
28 Jan 2020
A Scalable Deep Neural Network Architecture for Multi-Building and
  Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
Kyeong Soo Kim
Sanghyuk Lee
Kaizhu Huang
44
174
0
06 Dec 2017
1