Jeff Calder

According to our database, Jeff Calder authored at least 48 papers between 2009 and 2024.

Collaborative distances:

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

2024

Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian.

Jeff Calder, Nadejda Drenska

CoRR, 2024

2023

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning.

Kevin Miller, Jeff Calder

SIAM J. Math. Data Sci., December, 2023

Monotone discretizations of levelset convex geometric PDEs.

Jeff Calder, Wonjun Lee

CoRR, 2023

Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets.

James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi

CoRR, 2023

2022

Rates of Convergence for the Continuum Limit of Nondominated Sorting.

Brendan Cook, Jeff Calder

SIAM J. Math. Anal., 2022

Lipschitz Regularity of Graph Laplacians on Random Data Clouds.

Jeff Calder, Nicolás García Trillos, Marta Lewicka

SIAM J. Math. Anal., 2022

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

Jeff Calder, Sangmin Park, Dejan Slepcev

J. Sci. Comput., 2022

Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth.

Jeff Calder, Mahmood Ettehad

J. Mach. Learn. Res., 2022

Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian.

Leon Bungert, Jeff Calder, Tim Roith

CoRR, 2022

Use and Misuse of Machine Learning in Anthropology.

Jeff Calder, Reed Coil, Annie Melton, Peter J. Olver, Gilbert Tostevin, Katrina Yezzi-Woodley

CoRR, 2022

Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent.

Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver

CoRR, 2022

The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse.

Katrina Yezzi-Woodley, Jeff Calder, Mckenzie Sweno, Chloe Siewert, Peter J. Olver

CoRR, 2022

Graph-based Active Learning for Semi-supervised Classification of SAR Data.

Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi

CoRR, 2022

2021

Uniform Convergence Rates for Lipschitz Learning on Graphs.

Leon Bungert, Jeff Calder, Tim Roith

CoRR, 2021

2020

Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals.

Riley O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley

SIAM J. Imaging Sci., 2020

Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems.

Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi

J. Math. Imaging Vis., 2020

The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics.

Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin

CoRR, 2020

Asymptotically optimal strategies for online prediction with history-dependent experts.

Jeff Calder, Nadejda Drenska

CoRR, 2020

Online Prediction With History-Dependent Experts: The General Case.

Nadejda Drenska, Jeff Calder

CoRR, 2020

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

Jeff Calder, Dejan Slepcev, Matthew Thorpe

CoRR, 2020

A continuum limit for the PageRank algorithm.

Amber Yuan, Jeff Calder, Braxton Osting

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

Consistency of Lipschitz Learning with Infinite Unlabeled Data and Finite Labeled Data.

Jeff Calder

SIAM J. Math. Data Sci., 2019

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

Jeff Calder, Nicolás García Trillos

CoRR, 2019

Algorithms for 𝓁_p-based semi-supervised learning on graphs.

Mauricio Flores Rios, Jeff Calder, Gilad Lerman

CoRR, 2019

2018

Anomaly Detection and Classification for Streaming Data using PDEs.

Bilal Abbasi, Jeff Calder, Adam M. Oberman

SIAM J. Appl. Math., 2018

Robust variational segmentation of 3D bone CT data with thin cartilage interfaces.

Tarun Gangwar, Jeff Calder, Takashi Takahashi, Joan E. Bechtold, Dominik Schillinger

Medical Image Anal., 2018

Properly-weighted graph Laplacian for semi-supervised learning.

Jeff Calder, Dejan Slepcev

CoRR, 2018

Accelerated PDE's for efficient solution of regularized inversion problems.

Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi

CoRR, 2018

Lipschitz regularized Deep Neural Networks converge and generalize.

Adam M. Oberman, Jeff Calder

CoRR, 2018

The limit shape of convex hull peeling.

Jeff Calder, Charles K. Smart

CoRR, 2018

2017

Numerical schemes and rates of convergence for the Hamilton-Jacobi equation continuum limit of nondominated sorting.

Jeff Calder

Numerische Mathematik, 2017

The game theoretic p-Laplacian and semi-supervised learning with few labels.

Jeff Calder

CoRR, 2017

2016

Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis.

Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III

IEEE Trans. Neural Networks Learn. Syst., 2016

Anomaly detection and classification for streaming data using partial differential equations.

Bilal Abbasi, Jeff Calder, Adam M. Oberman

CoRR, 2016

2015

Pareto-Depth for Multiple-Query Image Retrieval.

Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III

IEEE Trans. Image Process., 2015

A PDE-based Approach to Nondominated Sorting.

Jeff Calder, Selim Esedoglu, Alfred O. Hero III

SIAM J. Numer. Anal., 2015

Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis.

Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III

CoRR, 2015

2014

A Hamilton-Jacobi Equation for the Continuum Limit of Nondominated Sorting.

Jeff Calder, Selim Esedoglu, Alfred O. Hero III

SIAM J. Math. Anal., 2014

A continuum limit for non-dominated sorting.

Jeff Calder, Selim Esedoglu, Alfred O. Hero III

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

2012

On the Circular Area Signature for Graphs.

Jeff Calder, Selim Esedoglu

SIAM J. Imaging Sci., 2012

Multi-criteria Anomaly Detection using Pareto Depth Analysis.

Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Anisotropic Image Sharpening via Well-Posed Sobolev Gradient Flows.

Jeff Calder, Abdol-Reza Mansouri

SIAM J. Math. Anal., 2011

New Possibilities in Image Diffusion and Sharpening via High-Order Sobolev Gradient Flows.

Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi

J. Math. Imaging Vis., 2011

A variational approach to bone segmentation in CT images.

Jeff Calder, Amir M. Tahmasebi, Abdol-Reza Mansouri

Proceedings of the Medical Imaging 2011: Image Processing, 2011

2010

Image Sharpening via Sobolev Gradient Flows.

Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi

SIAM J. Imaging Sci., 2010

2009

Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets.

Rachid Deriche, Jeff Calder, Maxime Descoteaux

Medical Image Anal., 2009

Real-time magnetic resonance Q-Ball imaging using Kalman filtering with Laplace-Beltrami regularization.

Rachid Deriche, Jeff Calder

Proceedings of the Medical Imaging 2009: Image Processing, 2009