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Sketching for Large-Scale Learning of Mixture Models

Sketching for Large-Scale Learning of Mixture Models

9 June 2016
Nicolas Keriven
Anthony Bourrier
Rémi Gribonval
Patrick Pérez
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Papers citing "Sketching for Large-Scale Learning of Mixture Models"

5 / 5 papers shown
Title
Compressive Independent Component Analysis: Theory and Algorithms
Compressive Independent Component Analysis: Theory and Algorithms
Michael P. Sheehan
Mike E. Davies
CML
18
2
0
15 Oct 2021
Fitting large mixture models using stochastic component selection
Fitting large mixture models using stochastic component selection
Milan Papez
Tomás Pevný
Václav Smídl
18
0
0
10 Oct 2021
Compressive Learning for Semi-Parametric Models
Compressive Learning for Semi-Parametric Models
Michael P. Sheehan
Antoine Gonon
Mike E. Davies
SSL
6
5
0
22 Oct 2019
On the Spectrum of Random Features Maps of High Dimensional Data
On the Spectrum of Random Features Maps of High Dimensional Data
Zhenyu Liao
Romain Couillet
8
51
0
30 May 2018
Instance Optimal Decoding and the Restricted Isometry Property
Instance Optimal Decoding and the Restricted Isometry Property
Nicolas Keriven
Rémi Gribonval
16
8
0
27 Feb 2018
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