Ekaterina Merkurjev

Orcid: 0000-0002-2489-8332

According to our database1, Ekaterina Merkurjev authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation.
Int. J. Mach. Learn. Cybern., December, 2023

Multiscale laplacian learning.
Appl. Intell., June, 2023

Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data.
Comput. Biol. Medicine, February, 2023

Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification.
CoRR, 2023

2021
A graphical approach for multiclass classification and for correcting the labeling errors in mislabeled training data.
Intell. Data Anal., 2021

2020
A fast graph-based data classification method with applications to 3D sensory data in the form of point clouds.
Pattern Recognit. Lett., 2020

2018
Auction dynamics: A volume constrained MBO scheme.
J. Comput. Phys., 2018

2017
Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds.
J. Math. Imaging Vis., 2017

Hyperspectral Image Classification Using Graph Clustering Methods.
Image Process. Line, 2017

2015
Variational and PDE-based methods for big data analysis, classification and image processing using graphs.
PhD thesis, 2015

Global Binary Optimization on Graphs for Classification of High-Dimensional Data.
J. Math. Imaging Vis., 2015

2014
Multiclass Data Segmentation Using Diffuse Interface Methods on Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Diffuse interface methods for multiclass segmentation of high-dimensional data.
Appl. Math. Lett., 2014

Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
An MBO Scheme on Graphs for Classification and Image Processing.
SIAM J. Imaging Sci., 2013


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