Ekaterina Rapinchuk (Merkurjev)
Ekaterina Rapinchuk (Merkurjev)
Verified email at - Homepage
Cited by
Cited by
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
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
Machine learning methods for small data challenges in molecular science
B Dou, Z Zhu, E Merkurjev, L Ke, L Chen, J Jiang, Y Zhu, J Liu, B Zhang, ...
Chemical Reviews 123 (13), 8736-8780, 2023
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
Auction Dynamics: A Volume Constrained MBO Scheme
M Jacobs, E Merkurjev, S Esedoglu
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
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, 414-435, 2015
Hyperspectral Image Classification Using Graph Clustering Methods
Z Meng, E Merkurjev, A Koniges, AL Bertozzi
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
A Semi-Supervised Heat Kernel Pagerank MBO Algorithm for Data Classification
E Merkurjev, AL Bertozzi, Chung, F.
Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds
E Bae, E Merkurjev
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
Graph-based optimization approaches for machine learning, uncertainty quantification and networks
AL Bertozzi, E Merkurjev
Handbook of Numerical Analysis 20, 503-531, 2019
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
Hyperspectral video analysis using graph clustering methods
Z Meng, E Merkurjev, A Koniges, AL Bertozzi
Image Processing On Line, submitted, 2017
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
Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data
N Hayes, E Merkurjev, GW Wei
Computers in biology and medicine 153, 106479, 2023
Multiscale laplacian learning
E Merkurjev, DD Nguyen, GW Wei
Applied Intelligence 53 (12), 15727-15746, 2023
Variational and PDE-based methods for big data analysis, classification and image processing using graphs
E Merkurjev
UCLA, 2015
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
N Hayes, E Merkurjev, GW Wei
arXiv preprint arXiv:2406.06479, 2024
The system can't perform the operation now. Try again later.
Articles 1–20