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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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CIFAR10 statistics and PCA

Research datakeyboard_double_arrow_right Dataset 02 Jan 2025Publisher:Zenodo
Authors: Bizeul, Alice;

doi: 10.5281/zenodo.14588944 , 10.5281/zenodo.14588943

CIFAR10 statistics and PCA

Abstract

CIFAR10 mean (mean_reshaped.npy) and standard deviation (std_reshaped.npy) calculated on the training set; CIFAR10's covariance matrix's eigenvalues (eigenvalues.npy), the ratio of total variance explained by each principal component (eigenvalues_ratio.npy), eand CIFAR10's principal components (pc_matrix.npy) computed using the normalized training dataset. These items were used in [1]. [1] Alice Bizeul, Thomas M. Sutter, Alain Ryser, Julius Von Kügelgen, Bernhard Schölkopf, Julia E. Vogt. Components Beat Patches: Eigenvector Masking for Visual Representation Learning. Oct, 2024.

Related Organizations
Keywords

Machine Learning, Unsupervised Machine Learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average