16 citations · 19 across the 6 of their papers we have counts for
3 papers · 1 filter
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke
Anna Dobshik, Andrey Tulupov, Vladimir Berikov
This paper presents an automatic algorithm for the segmentation of areas affected by an acute stroke on the non-contrast computed tomography brain images. The proposed algorithm is…
Identification of unknown parameters and prediction with hierarchical matrices
Alexander Litvinenko, Ronald Kriemann, Vladimir Berikov
Statistical analysis of massive datasets very often implies expensive linear algebra operations with large dense matrices. Typical tasks are an estimation of unknown parameters of…
Solving weakly supervised regression problem using low-rank manifold regularization
Vladimir Berikov, Alexander Litvinenko
We solve a weakly supervised regression problem. Under "weakly" we understand that for some training points the labels are known, for some unknown, and for others uncertain due to…