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Mahdi Zamanighomi

1 accepted papers

2016

Estimating high-dimensional covariance matrices with misses for Kronecker product expansion models

ICASSP 2016accepted

We study the problem of high-dimensional covariance matrix estimation from partial observations. We consider covariance matrices modeled as Kronecker products of matrix factors, and rely on observations with missing values. In the absence of missing data, observation vectors are assumed to be i.i.d…

Cited by 0SourceScholar