We study extensions of Fréchet means for random objects in the space
Sym...
In this work, we characterize two data piling phenomenon for a
high-dime...
Differential privacy (DP) has become a rigorous central concept in priva...
We propose a method for variable selection and basis learning for
high-d...
Analysis of multi-source data, where data on the same objects are collec...
Set classification aims to classify a set of observations as a whole, as...
We propose a new algorithm for sparse estimation of eigenvectors in
gene...
Dimension reduction of multivariate data supervised by auxiliary informa...
Set classification problems arise when classification tasks are based on...