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Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review

Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review

30 May 2022
Fahad Al-homayani
Mohammad H. Mahoor
ArXivPDFHTML

Papers citing "Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review"

4 / 4 papers shown
Title
ML-based Approaches for Wireless NLOS Localization: Input
  Representations and Uncertainty Estimation
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation
R. Darbinyan
Hrant Khachatrian
Rafayel Mkrtchyan
Theofanis P. Raptis
UQCV
22
7
0
22 Apr 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
1