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Recursive nearest agglomeration (ReNA): fast clustering for
  approximation of structured signals
v1v2 (latest)

Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals

15 September 2016
Andrés Hoyos-Idrobo
Gaël Varoquaux
J. Kahn
Bertrand Thirion
ArXiv (abs)PDFHTML

Papers citing "Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals"

5 / 5 papers shown
Title
Spatially relaxed inference on high-dimensional linear models
Spatially relaxed inference on high-dimensional linear models
Jérôme-Alexis Chevalier
Tuan-Binh Nguyen
Bertrand Thirion
Joseph Salmon
58
1
0
04 Jun 2021
Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature
  Selection
Sparse PCA via l2,pl_{2,p}l2,p​-Norm Regularization for Unsupervised Feature Selection
Zhengxin Li
Feiping Nie
Jintang Bian
Xuelong Li
44
55
0
29 Dec 2020
DropCluster: A structured dropout for convolutional networks
DropCluster: A structured dropout for convolutional networks
Liyang Chen
P. Gautier
Sergul Aydore
47
11
0
07 Feb 2020
Group-Connected Multilayer Perceptron Networks
Group-Connected Multilayer Perceptron Networks
Mohammad Kachuee
Sajad Darabi
Shayan Fazeli
Majid Sarrafzadeh
AI4CE
32
2
0
20 Dec 2019
Cross-validation failure: small sample sizes lead to large error bars
Cross-validation failure: small sample sizes lead to large error bars
Gaël Varoquaux
64
527
0
23 Jun 2017
1