Ilia Kisil

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?

A novel method for common and individual feature analysis from exceedingly large-scale data is proposed, in order to ensure the tractability of both the computation and storage and thus mitigate the curse of dimensionality, a major bottleneck in modern data science. This is achieved by making use of…