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Found 3 papers, 1 papers with code
Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs
We also propose a new full reference video quality assessment (FRVQA) model that achieves a Pearson Correlation Coefficient (PCC) of 0. 99 and a Spearman's Rank Correlation Coefficient (SRCC) of 0. 99 at the model level.
Asymptotic Theory for Estimating the Singular Vectors and Values of a Partially-observed Low Rank Matrix with Noise
In practice, the singular vectors and singular values of the low rank matrix play a pivotal role for statistical analyses and inferences.
Methodology
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
We propose a novel convex relaxation of sparse principal subspace estimation based on the convex hull of rank-$d$ projection matrices (the Fantope).
