From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning.

Karakasis PA, Saad W

DOI: 10.3390/e28101161
Published: 2026 Oct 21
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/e28101161,
  title = {From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning.},
  author = {Karakasis PA and Saad W},
  year = {2026},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e28101161},
  url = {https://doi.org/10.3390/e28101161}
}

RIS

TY  - JOUR
TI  - From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning.
AU  - Karakasis PA
AU  - Saad W
PY  - 2026
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e28101161
UR  - https://doi.org/10.3390/e28101161
ER  -

APA

PA, K., & W, S. (2026). From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e28101161

Source records

pubmed · retrieved 2026-11-10T06:23:41.635Z