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Learning from graphs with structural variation
Rune Kok Nielsen,
Andreas Nugaard Holm
, Aasa Feragen
Department of Computer Science
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Keyphrases
Structural Variation
100%
Barycenter
100%
Experimental Validation
50%
Matrix Laboratory (MATLAB)
50%
Mean Function
50%
Wasserstein Distance
50%
Population Analysis
50%
Natural Representation
50%
Brain Connectivity
50%
Inherent Variation
50%
Inherent Uncertainty
50%
Statistical Analysis
50%
Finite-dimensional
50%
Covariance Function
50%
Mathematics
Center of Gravity
100%
Statistical Analysis
50%
Covariance Function
50%
Valued Function
50%
MATLAB
50%