A categorical foundation for Bayesian probability J Culbertson, K Sturtz
Applied Categorical Structures 22 (4), 647-662, 2014
49 2014 Formal composition of hybrid systems J Culbertson, P Gustafson, DE Koditschek, PF Stiller
Theory and Applications of Categories 35 (45), 1634–1682, 2020
17 2020 Functorial hierarchical clustering with overlaps J Culbertson, DP Guralnik, PF Stiller
Discrete Applied Mathematics 236, 108-123, 2018
16 2018 Bayesian machine learning via category theory J Culbertson, K Sturtz
arXiv preprint arXiv:1312.1445, 2013
13 2013 Extendable shellability for -dimensional complexes on vertices J Culbertson, A Dochtermann, DP Guralnik, PF Stiller
The Electronic Journal of Combinatorics 27 (3), 2020
7 2020 Consistency constraints for overlapping data clustering J Culbertson, DP Guralnik, J Hansen, PF Stiller
arXiv preprint arXiv:1608.04331, 2016
6 2016 Edge erasures and chordal graphs J Culbertson, DP Guralnik, PF Stiller
Electronic Journal of Graph Theory and Applications 9 (2), 409-418, 2017
5 2017 Injective metrizability and the duality theory of cubings J Culbertson, DP Guralnik, PF Stiller
Expositiones Mathematicae 37 (4), 410-453, 2019
2 2019 Evaluation methodology for query-based scene understanding systems TP Huster, TD Ross, JL Culbertson
Automatic Target Recognition XXV 9476, 947605, 2015
1 2015 Hybrid dynamical type theories for navigation P Gustafson, J Culbertson, DE Koditschek
arXiv preprint arXiv:2108.07625, 2021
2021 A baseline for the scene understanding challenge problem G Arnold, JL Culbertson, TV Rovito, E Barto, MA Harrison, S Walls
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV …, 2016
2016 Perverse poisson sheaves on the nilpotent cone J Culbertson
Louisiana State University, 2010
2010