Jeff Calder

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University of Minnesota

United States

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Recent Grants

Grant: Close

Nonlinear partial differential equations and continuum limits for large discrete sorting problems

Open Date: 2015-07-01

Close Date: 2017-06-30

Grant: Close

Varational Approaches to medical image registration using Sobolev gradient flows

Open Date: 2011-04-01

Close Date: 2012-03-31

Grant: Close

Varational Approaches to medical image registration using Sobolev gradient flows

Open Date: 2010-04-01

Close Date: 2011-03-31

Grant: Close

Super-Resolution Image Enhancement

Open Date: 2009-04-01

Close Date: 2010-03-31

Grant: Close

Super-Resolution Image Enhancement

Open Date: 2008-04-01

Close Date: 2009-03-31

Articles (20)

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2020

Collaborators (2)

Dejan Slepcev

Professor

Carnegie Mellon University

UNITED STATES

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Gilad Lerman

Professor

University of Minnesota

UNITED STATES

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Jeff Calder

Research Interests

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Contact this professor

Recent Grants

Articles (20)

Continuous data assimilation for hydrodynamics

Attraction-repulsion swarming

Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent

Monotone discretizations of levelset convex geometric PDEs

RATIO CONVERGENCE RATES FOR EUCLIDEAN FIRST-PASSAGE PERCOLATION

Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

Online Prediction with History-Dependent Experts

Uniform convergence rates for Lipschitz learning on graphs

Rates of convergence for Laplacian semi-supervised learning with low labeling rates

Analysis and algorithms for ℓp-based semi-supervised learning on graphs

Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs

Boundary Estimation from Point Clouds

A continuum limit for the PageRank algorithm

Lipschitz Regularity of Graph Laplacians on Random Data Clouds

Rates of Convergence for the Continuum Limit of Nondominated Sorting

The virtual goniometer

Asymptotically Optimal Strategies for Online Prediction with History-Dependent Experts

Properly-Weighted Graph Laplacian for Semi-supervised Learning

The limit shape of convex hull peeling

Collaborators (2)

Dejan Slepcev

Gilad Lerman

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