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On landmark selection and sampling in high-dimensional data analysis

On landmark selection and sampling in high-dimensional data analysis

24 June 2009
M. Belabbas
P. Wolfe
ArXiv (abs)PDFHTML

Papers citing "On landmark selection and sampling in high-dimensional data analysis"

5 / 5 papers shown
Title
BASiS: Batch Aligned Spectral Embedding Space
BASiS: Batch Aligned Spectral Embedding Space
O. Streicher
I. Cohen
Guy Gilboa
67
2
0
30 Nov 2022
Scalability and robustness of spectral embedding: landmark diffusion is
  all you need
Scalability and robustness of spectral embedding: landmark diffusion is all you need
Chao Shen
Hau‐Tieng Wu
99
26
0
03 Jan 2020
Fast DPP Sampling for Nyström with Application to Kernel Methods
Fast DPP Sampling for Nyström with Application to Kernel Methods
Chengtao Li
Stefanie Jegelka
S. Sra
97
76
0
19 Mar 2016
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score
  Sampling
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling
Michael B. Cohen
Cameron Musco
Christopher Musco
83
144
0
23 Nov 2015
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Alex Gittens
Michael W. Mahoney
132
416
0
07 Mar 2013
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