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Giuseppe Giovanni Calvi

2 accepted papers

2018

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

ICASSP 2018accepted

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…

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