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Positive semi-definite embedding for dimensionality reduction and
  out-of-sample extensions
v1v2v3v4 (latest)

Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions

20 November 2017
Michaël Fanuel
Antoine Aspeel
Jean-Charles Delvenne
Johan A. K. Suykens
ArXiv (abs)PDFHTML

Papers citing "Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions"

2 / 2 papers shown
Title
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
21
5
0
04 Apr 2020
Learning Data-adaptive Nonparametric Kernels
Learning Data-adaptive Nonparametric Kernels
Fanghui Liu
Xiaolin Huang
Chen Gong
Jie Yang
Li Li
62
18
0
31 Aug 2018
1