Filtering and compression for infinite sets of stochastic signals
Signal Processing
Towards theory of generic Principal Component Analysis
Journal of Multivariate Analysis
Generic weighted filtering of stochastic signals
IEEE Transactions on Signal Processing
Fourier spectral factor model for prediction of multidimensional signals
Signal Processing
Optimal exact least squares rank minimization
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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In this paper we give an explicit solution to the rank-constrained matrix approximation in Frobenius norm, which is a generalization of the classical approximation of an $m\times n$ matrix $A$ by a matrix of, at most, rank $k$.