6 citations · 12 across the 18 of their papers we have counts for
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cs.DS2019★ 6 cited
Refined Complexity of PCA with Outliers
Fedor V. Fomin, Petr A. Golovach, Fahad Panolan +1
Principal component analysis (PCA) is one of the most fundamental procedures in exploratory data analysis and is the basic step in applications ranging from quantitative finance an…
cs.DS2019
Low-rank binary matrix approximation in column-sum norm
Fedor V. Fomin, Petr A. Golovach, Fahad Panolan +1
We consider -Rank- Approximation over GF(2), where for a binary matrix and a positive integer , one seeks a binary matrix of rank at m…
cs.DS2019
Parameterized k-Clustering: The distance matters!
Fedor V. Fomin, Petr A. Golovach, Kirill Simonov
We consider the -Clustering problem, which is for a given multiset of vectors and a nonnegative number , to decide whether can be partitioned…