"Differentiable Kernels in Generalized Matrix Learning Vector Quantization."

Marika Kästner et al. (2012)

> Home

Details and statistics

DOI: 10.1109/ICMLA.2012.231

access: closed

type: Conference or Workshop Paper

metadata version: 2019-06-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icmla/KastnerNRBV12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmla/KastnerNRBV12
Marika Kästner, David Nebel, Martin Riedel, Michael Biehl, Thomas Villmann:
Differentiable Kernels in Generalized Matrix Learning Vector Quantization. ICMLA (1) 2012: 132-137

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.