Ekaterina Rapinchuk (Merkurjev)
Ekaterina Rapinchuk (Merkurjev)
Verified email at msu.edu - Homepage
Title
Cited by
Cited by
Year
Multiclass data segmentation using diffuse interface methods on graphs
C Garcia-Cardona, E Merkurjev, AL Bertozzi, A Flenner, AG Percus
IEEE transactions on pattern analysis and machine intelligence 36 (8), 1600-1613, 2014
1042014
An MBO scheme on graphs for classification and image processing
E Merkurjev, T Kostic, AL Bertozzi
SIAM Journal on Imaging Sciences 6 (4), 1903-1930, 2013
1012013
Graph MBO method for multiclass segmentation of hyperspectral stand-off detection video
E Merkurjev, J Sunu, AL Bertozzi
2014 IEEE International Conference on Image Processing (ICIP), 689-693, 2014
492014
Diffuse interface methods for multiclass segmentation of high-dimensional data
E Merkurjev, C Garcia-Cardona, AL Bertozzi, A Flenner, AG Percus
Applied Mathematics Letters 33, 29-34, 2014
362014
Global binary optimization on graphs for classification of high-dimensional data
E Merkurjev, E Bae, AL Bertozzi, XC Tai
Journal of Mathematical Imaging and Vision 52 (3), 414-435, 2015
352015
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
T Gerhart, J Sunu, L Lieu, E Merkurjev, JM Chang, J Gilles, AL Bertozzi
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2013
322013
Auction Dynamics: A Volume Constrained MBO Scheme
M Jacobs, E Merkurjev, S Esedoglu
25*
Hyperspectral Image Classification Using Graph Clustering Methods
Z Meng, E Merkurjev, A Koniges, AL Bertozzi
25*
Convex variational methods for multiclass data segmentation on graphs
E Bae, E Merkurjev
20*
A Semi-Supervised Heat Kernel Pagerank MBO Algorithm for Data Classification
E Merkurjev, AL Bertozzi, Chung, F.
18*
Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds
E Bae, E Merkurjev
15*
Automated parameter selection in the-TV model for removing Gaussian plus impulse noise
A Langer
Inverse Problems 33 (7), 074002, 2017
142017
Modified Cheeger and ratio cut methods using the Ginzburg–Landau functional for classification of high-dimensional data
E Merkurjev, A Bertozzi, X Yan, K Lerman
Inverse Problems 33 (7), 074003, 2017
112017
An MBO scheme on graphs for segmentation and image processing
E Merkurjev, T Kostic, A Bertozzi
UCLA CAM Report, 12-46, 2012
82012
Relative Performance of Lambert Solvers 1: 0-Revolution Methods
GE Peterson, ET Campbell, J Balbas, S Ivy, E Merkurjev, Rodriguez, P.
Adv Astronaut Sci. 136 (1), 1495-1510, 2010
8*2010
Hyperspectral video analysis using graph clustering methods
Z Meng, E Merkurjev, A Koniges, AL Bertozzi
Image Processing On Line, submitted, 2017
72017
Variational and PDE-based methods for big data analysis, classification and image processing using graphs
E Merkurjev
CALIFORNIA UNIV LOS ANGELES DEPT OF MATHEMATICS, 2015
32015
A fast graph-based data classification method with applications to 3D sensory data in the form of point clouds
E Merkurjev
Pattern Recognition Letters 136, 154-160, 2020
2020
Graph-based optimization approaches for machine learning, uncertainty quantification and networks
AL Bertozzi, E Merkurjev
Handbook of Numerical Analysis 20, 503-531, 2019
2019
Asymptotics for optimal design problems for the Schrödinger equation with a potential
A Waters, E Merkurjev
Journal of Optimization 2018, 2018
2018
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Articles 1–20