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Stephan Huckemann
Stephan Huckemann
Professor for Non-Euclidean Statistics, University of Goettingen
Verified email at math.uni-goettingen.de - Homepage
Title
Cited by
Cited by
Year
A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres
B Eltzner, SF Huckemann
https://arxiv.org/abs/1801.06581, 2018
439*2018
Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric Lie group actions
S Huckemann, T Hotz, A Munk
Statistica Sinica, 1-58, 2010
2662010
Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces
S Huckemann, H Ziezold
Advances in Applied Probability 38 (2), 299-319, 2006
1142006
Global models for the orientation field of fingerprints: an approach based on quadratic differentials
S Huckemann, T Hotz, A Munk
IEEE transactions on pattern analysis and machine intelligence 30 (9), 1507-1519, 2008
1112008
The filament sensor for near real-time detection of cytoskeletal fiber structures
B Eltzner, C Wollnik, C Gottschlich, S Huckemann, F Rehfeldt
PloS one 10 (5), e0126346, 2015
852015
Sticky central limit theorems on open books
T Hotz, S Skwerer, S Huckemann, H Le, JS Marron, JC Mattingly, E Miller, ...
852013
Nested sphere statistics of skeletal models
SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ...
Innovations for Shape Analysis: Models and Algorithms, 93-115, 2013
752013
Intrinsic means on the circle: uniqueness, locus and asymptotics
T Hotz, S Huckemann
Annals of the Institute of Statistical Mathematics 67, 177-193, 2015
692015
Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth
SF Huckemann
672011
Filter design and performance evaluation for fingerprint image segmentation
DH Thai, S Huckemann, C Gottschlich
PloS one 11 (5), e0154160, 2016
642016
Intrinsic MANOVA for Riemannian manifolds with an application to Kendall's space of planar shapes
S Huckemann, T Hotz, A Munk
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (4), 593-603, 2009
622009
Inference on 3d procrustes means: Tree bole growth, rank deficient diffusion tensors and perturbation models
S Huckemann
Scandinavian Journal of Statistics 38 (3), 424-446, 2011
592011
Torus principal component analysis with applications to RNA structure
B Eltzner, S Huckemann, KV Mardia
482018
On the meaning of mean shape: Manifold stability, locus and the two sample test
SF Huckemann
Annals of the Institute of Statistical Mathematics 64, 1227-1259, 2012
402012
Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints
C Gottschlich, S Huckemann
IET Biometrics 3 (4), 291-301, 2014
392014
Möbius deconvolution on the hyperbolic plane with application to impedance density estimation
SF Huckemann, PT Kim, JY Koo, A Munk
372010
Information geometry for phylogenetic trees
MK Garba, TMW Nye, J Lueg, SF Huckemann
Journal of Mathematical Biology 82, 1-39, 2021
312021
Tree-oriented analysis of brain artery structure
S Skwerer, E Bullitt, S Huckemann, E Miller, I Oguz, M Owen, ...
Journal of mathematical imaging and vision 50, 126-143, 2014
302014
Sticky central limit theorems at isolated hyperbolic planar singularities
S Huckemann, J Mattingly, E Miller, J Nolen
282015
Principal component geodesics for planar shape spaces
S Huckemann, T Hotz
Journal of Multivariate Analysis 100 (4), 699-714, 2009
282009
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