Beyond Stochastic Gradient Descent for Matrix Completion Based Indoor Localization - Cnam - Conservatoire national des arts et métiers Access content directly
Journal Articles Applied Sciences Year : 2019

Dates and versions

hal-02445622 , version 1 (29-01-2020)

Licence

Attribution

Identifiers

Cite

Wafa Njima, Rafik Zayani, Iness Ahriz, Michel Terre, Ridha Bouallegue. Beyond Stochastic Gradient Descent for Matrix Completion Based Indoor Localization. Applied Sciences, 2019, 9 (12), pp.2414. ⟨10.3390/app9122414⟩. ⟨hal-02445622⟩

Collections

CNAM CEDRIC-CNAM
161 View
111 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More