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Found 3 papers, 1 papers with code
Classification Using Global and Local Mahalanobis Distances
This nonparametric classifier usually performs like the Mahalanobis distance based semiparametric classifier when the underlying distributions are elliptic, but outperforms it for several non-elliptic and multimodal distributions.
CovNet: Covariance Networks for Functional Data on Multidimensional Domains
Covariance estimation is ubiquitous in functional data analysis.
On a Generalization of the Average Distance Classifier
In high dimension, low sample size (HDLSS)settings, the simple average distance classifier based on the Euclidean distance performs poorly if differences between the locations get masked by the scale differences.
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