Name
Affiliation
Papers
DEJAN SLEPČEV
Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA, USA
20
Collaborators
Citations 
PageRank 
33
95
11.01
Referers 
Referees 
References 
201
443
224
Search Limit
100443
Title
Citations
PageRank
Year
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications00.342022
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates00.342020
Analysis of p-Laplacian Regularization in Semisupervised Learning.00.342019
Properly-Weighted Graph Laplacian For Semi-Supervised Learning10.382018
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms.10.382018
Optimal cone singularities for conformal flattening.20.362018
Analysis of $p$-Laplacian Regularization in Semi-Supervised Learning.60.572017
Optimal Mass Transport: Signal processing and machine-learning applications.180.812017
A Transportation Lp Distance for Signal Analysis.00.342017
Transport-based analysis, modeling, and learning from signal and data distributions.20.402016
Mean-Curvature Flow of Voronoi Diagrams.00.342015
Multiple penalized principal curves: analysis and computation00.342015
A symmetric deformation-based similarity measure for shape analysis00.342015
Consistency of Cheeger and Ratio Graph Cuts.60.452014
A linear optimal transportation framework for quantifying and visualizing variations in sets of images.301.402013
Properties of Minimizers of Average-Distance Problem via Discrete Approximation of Measures.70.582013
An optimal transportation approach for nuclear structure-based pathology.100.832011
A graph-based method for detecting characteristic phenotypes from biomedical images10.422010
Coarsening in Nonlocal Interfacial Systems40.672008
Coarsening Rates for a Droplet Model: Rigorous Upper Bounds71.402006