"Improving Re-Identification by Estimating and Utilizing Diverse ..."

Markus Eisenbach et al. (2024)

> Home

Details and statistics

DOI: 10.3390/A17100430

access: open

type: Journal Article

metadata version: 2025-10-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/algorithms/EisenbachGAG24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/algorithms/EisenbachGAG24
Markus Eisenbach, Andreas Gebhardt, Dustin Aganian, Horst-Michael Gross:
Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings. Algorithms 17(10): 430 (2024)

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.