A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems.

Hermosillo-Reynoso F, Torres-Roman D

Open source

DOI: 10.3390/s24237463
Published: 2024 Nov 22
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s24237463,
  title = {A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems.},
  author = {Hermosillo-Reynoso F and Torres-Roman D},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24237463},
  url = {https://doi.org/10.3390/s24237463}
}

RIS

TY  - JOUR
TI  - A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems.
AU  - Hermosillo-Reynoso F
AU  - Torres-Roman D
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24237463
UR  - https://doi.org/10.3390/s24237463
ER  -

APA

F, H., & D, T. (2024). A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24237463

Source records

pubmed · retrieved 2026-09-25T04:49:23.766Z
europe-pmc · retrieved 2026-09-25T04:49:23.798Z
doaj · retrieved 2026-09-25T04:49:23.770Z