Dejan Slepcev

According to our database, Dejan Slepcev authored at least 27 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications.

Jeff Calder, Sangmin Park, Dejan Slepcev

J. Sci. Comput., 2022

Accurate Quantization of Measures via Interacting Particle-based Optimization.

Lantian Xu, Anna Korba, Dejan Slepcev

Proceedings of the International Conference on Machine Learning, 2022

2021

Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation.

Katy Craig, Nicolás García Trillos, Dejan Slepcev

CoRR, 2021

2020

Error Estimates for Spectral Convergence of the Graph Laplacian on Random Geometric Graphs Toward the Laplace-Beltrami Operator.

Nicolás García Trillos, Moritz Gerlach, Matthias Hein, Dejan Slepcev

Found. Comput. Math., 2020

Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates.

Jeff Calder, Dejan Slepcev, Matthew Thorpe

CoRR, 2020

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates.

Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Analysis of p-Laplacian Regularization in Semisupervised Learning.

Dejan Slepcev, Matthew Thorpe

SIAM J. Math. Anal., 2019

Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit.

Antonio Esposito, Francesco S. Patacchini, André Schlichting, Dejan Slepcev

CoRR, 2019

2018

Optimal cone singularities for conformal flattening.

Yousuf Soliman, Dejan Slepcev, Keenan Crane

ACM Trans. Graph., 2018

Properly-weighted graph Laplacian for semi-supervised learning.

Jeff Calder, Dejan Slepcev

CoRR, 2018

Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms.

Matthew M. Dunlop, Dejan Slepcev, Andrew M. Stuart, Matthew Thorpe

CoRR, 2018

2017

Optimal Mass Transport: Signal processing and machine-learning applications.

Soheil Kolouri, Se Rim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde

IEEE Signal Process. Mag., 2017

A Transportation L^p Distance for Signal Analysis.

Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepcev

J. Math. Imaging Vis., 2017

Multiple Penalized Principal Curves: Analysis and Computation.

Slav Kirov, Dejan Slepcev

J. Math. Imaging Vis., 2017

Analysis of $p$-Laplacian Regularization in Semi-Supervised Learning.

Dejan Slepcev, Matthew Thorpe

CoRR, 2017

2016

Consistency of Cheeger and Ratio Graph Cuts.

Nicolás García Trillos, Dejan Slepcev, James H. von Brecht, Thomas Laurent, Xavier Bresson

J. Mach. Learn. Res., 2016

Transport-based analysis, modeling, and learning from signal and data distributions.

Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepcev, Gustavo K. Rohde

CoRR, 2016

2015

Mean-Curvature Flow of Voronoi Diagrams.

Matt Elsey, Dejan Slepcev

J. Nonlinear Sci., 2015

A variational approach to the consistency of spectral clustering.

Nicolás García Trillos, Dejan Slepcev

CoRR, 2015

A symmetric deformation-based similarity measure for shape analysis.

Soheil Kolouri, Dejan Slepcev, Gustavo K. Rohde

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Properties of Minimizers of Average-Distance Problem via Discrete Approximation of Measures.

Xin Yang Lu, Dejan Slepcev

SIAM J. Math. Anal., 2013

A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images.

Wei Wang, Dejan Slepcev, Saurav Basu, John A. Ozolek, Gustavo K. Rohde

Int. J. Comput. Vis., 2013

2012

A linear transport-based embedding method for analyzing biomedical images.

Gustavo K. Rohde, Wei Wang, Saurav Basu, Dejan Slepcev

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

An Optimal Transportation Approach for Nuclear Structure-Based Pathology.

Wei Wang, John A. Ozolek, Dejan Slepcev, Ann B. Lee, Cheng Chen, Gustavo K. Rohde

IEEE Trans. Medical Imaging, 2011

2010

A graph-based method for detecting characteristic phenotypes from biomedical images.

Wei Wang, Cheng Chen, Tao Peng, Dejan Slepcev, John A. Ozolek, Gustavo K. Rohde

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2008

Coarsening in Nonlocal Interfacial Systems.

Dejan Slepcev

SIAM J. Math. Anal., 2008

2006

Coarsening Rates for a Droplet Model: Rigorous Upper Bounds.

Felix Otto, Tobias Rump, Dejan Slepcev

SIAM J. Math. Anal., 2006