Generalised nearest feature line for subspace learning

Y. Pang*, Y. Yuan, X. Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Nearest feature line (NFL) is a powerful tool in pattern recognition, which generalises the representational capacity of available prototypes by using linear interpolation and extrapolation between the feature points. NFL is generalised to subspace learning so that the obtained subspace has desirable discriminating ability. Experiments on face recognition demonstrate its effectiveness.

Original languageEnglish
Pages (from-to)1079-1080
Number of pages2
JournalElectronics letters
Issue number20
Publication statusPublished - 8 Oct 2007


  • discriminators
  • extrapolation
  • interpolation
  • software prototyping


Dive into the research topics of 'Generalised nearest feature line for subspace learning'. Together they form a unique fingerprint.

Cite this