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Compressive K-means

Compressive K-means

27 October 2016
Nicolas Keriven
Nicolas M Tremblay
Y. Traonmilin
Rémi Gribonval
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Papers citing "Compressive K-means"

6 / 6 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
24
3
0
22 Nov 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes
CADeSH: Collaborative Anomaly Detection for Smart Homes
Yair Meidan
D. Avraham
H. Libhaber
A. Shabtai
19
8
0
02 Mar 2023
M$^2$M: A general method to perform various data analysis tasks from a
  differentially private sketch
M2^22M: A general method to perform various data analysis tasks from a differentially private sketch
F. Houssiau
V. Schellekens
Antoine Chatalic
Shreyas Kumar Annamraju
Yves-Alexandre de Montjoye
19
0
0
25 Nov 2022
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Parthe Pandit
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
A. Fletcher
23
6
0
26 Jan 2020
Compressive Learning for Semi-Parametric Models
Compressive Learning for Semi-Parametric Models
Michael P. Sheehan
Antoine Gonon
Mike E. Davies
SSL
19
5
0
22 Oct 2019
Approximating Spectral Clustering via Sampling: a Review
Approximating Spectral Clustering via Sampling: a Review
Nicolas M Tremblay
Andreas Loukas
13
45
0
29 Jan 2019
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