Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions-Reference-Cited by-同舟云学术

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Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions

Published:2022-02-10 Issue:1 Volume:4 Page:153-178
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Fanuel Michaël,Aspeel Antoine,Delvenne Jean-Charles,Suykens Johan A. K.

Funder

Research Council KUL

ImpulsfondsAI

Seventh Framework Programme

Fonds Wetenschappelijk Onderzoek

KU Leuven

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Link

https://epubs.siam.org/doi/pdf/10.1137/20M1370653

Reference21 articles.

1. Tightness of the maximum likelihood semidefinite relaxation for angular synchronization

2. Nonconvex Phase Synchronization

3. Kernels of trace class operators

4. A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An element-wise kernel learning framework;Applied Intelligence;2022-08-09

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