Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity

C Zhou, A Wieser - Progress in Location Based Services 2018 14, 2018 - Springer
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …
被引用次数：18 相关文章

Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity

C Zhou, A Wieser - Progress in Location Based Services …, 2018 - research-collection.ethz.ch
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …
[HTML] researchain.net

[HTML][HTML] Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity

C Zhou, A Wieser - researchain.net
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …

Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity

C Zhou, A Wieser - 2018 - Springer
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …
[PDF] researchgate.net

[PDF][PDF] Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity

C Zhou, A Wieser - researchgate.net
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …

Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity

C Zhou, A Wieser - arXiv preprint arXiv:1711.07812, 2017 - arxiv.org
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …

Jaccard analysis and LASSO-based feature selection for location fingerprinting with limited computational complexity

C Zhou, A Wieser - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …

Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity

C Zhou, A Wieser - Progress in Location Based Services 2018, 2017 - books.google.com
We propose an approach to reduce both computational complexity and data storage
requirements for the online positioning stage of a fingerprinting-based indoor positioning …