"Compressive informed (semi-)non-negative matrix factorization methods for ..."

Farouk Yahaya (2021)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2022-05-27

- view
  - electronic edition @ archives-ouvertes.fr
- export record
  dblp key:
  - phd/hal/Yahaya21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/hal/Yahaya21
Farouk Yahaya:
Compressive informed (semi-)non-negative matrix factorization methods for incomplete and large-scale data : with application to mobile crowd-sensing data. (Méthodes étendues de factorisation informée de matrices ou tenseurs (semi-) non-négatifs pour l'analyse de données incomplètes et de grande dimension : Application au traitement de données issues du mobile crowdsensing). University of the Littoral Opal Coast, Dunkerque, France, 2021

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.