Prof. Dr. Stephan F. Huckemann

 
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  • 2022 Journal Article | Research Paper
    ​ ​Principal component analysis and clustering on manifolds​
    Mardia, K. V.; Wiechers, H.; Eltzner, B.   & Huckemann, S. F. ​ (2022) 
    Journal of Multivariate Analysis188 art. S0047259X21001408​.​ DOI: https://doi.org/10.1016/j.jmva.2021.104862 
    Details  DOI 
  • 2021 Preprint
    ​ ​Learning torus PCA based classification for multiscale RNA backbone structure correction with application to SARS-CoV-2​
    Wiechers, H.; Eltzner, B. ; Mardia, K. V.& Huckemann, S. F. ​ (2021). DOI: https://doi.org/10.1101/2021.08.06.455406 
    Details  DOI 
  • 2021 Journal Article
    ​ ​Stability of the Cut Locus and a Central Limit Theorem for Fréchet Means of Riemannian Manifolds​
    Eltzner, B. ; Galaz-García, F.; Huckemann, S. F.   & Tuschmann, W.​ (2021) 
    Proceedings of the American Mathematical Society149(09) pp. 3947​-3963​.​ DOI: https://doi.org/10.1090/proc/15429 
    Details  DOI  arXiv 
  • 2021 Journal Article
    ​ ​Characteristic and necessary minutiae in fingerprints​
    Wieditz, J.; Pokern, Y.; Schuhmacher, D.   & Huckemann, S. ​ (2021) 
    Journal of the Royal Statistical Society: Series C (Applied Statistics), art. rssc.12520​.​ DOI: https://doi.org/10.1111/rssc.12520 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Statistical analysis of ENDOR spectra​
    Pokern, Y.; Eltzner, B. ; Huckemann, S. F. ; Beeken, C.; Stubbe, J.; Tkach, I. & Bennati, M.  et al.​ (2021) 
    Proceedings of the National Academy of Sciences118(27) pp. e2023615118​.​ DOI: https://doi.org/10.1073/pnas.2023615118 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​Data analysis on nonstandard spaces​
    Huckemann, S. F.   & Eltzner, B. ​ (2020) 
    Wiley Interdisciplinary Reviews. Computational Statistics,.​ DOI: https://doi.org/10.1002/wics.1526 
    Details  DOI 
  • 2020 Journal Article
    ​ ​Functional inference on rotational curves under sample‐specific group actions and identification of human gait​
    Telschow, F. J.; Pierrynowski, M. R. & Huckemann, S. F. ​ (2020) 
    Scandinavian Journal of Statistics,.​ DOI: https://doi.org/10.1111/sjos.12488 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Detecting anisotropy in fingerprint growth​
    Markert, K.; Krehl, K.; Gottschlich, C.   & Huckemann, S. ​ (2019) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics68(4) pp. 1007​-1027​.​ DOI: https://doi.org/10.1111/rssc.12343 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Smudge Noise for Quality Estimation of Fingerprints and its Validation​
    Richter, R.; Gottschlich, C. ; Mentch, L.; Thai, D. H. & Huckemann, S. F. ​ (2019) 
    IEEE Transactions on Information Forensics and Security14(8) pp. 1963​-1974​.​ DOI: https://doi.org/10.1109/TIFS.2018.2889258 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​A smeary central limit theorem for manifolds with application to high-dimensional spheres​
    Eltzner, B.   & Huckemann, S. F. ​ (2019) 
    The Annals of Statistics47(6) pp. 3360​-3381​.​ DOI: https://doi.org/10.1214/18-AOS1781 
    Details  DOI 
  • 2019 Journal Article
    ​ ​Small‐sphere distributions for directional data with application to medical imaging​
    Kim, B.; Huckemann, S. ; Schulz, J. & Jung, S.​ (2019) 
    Scandinavian Journal of Statistics46(4) pp. 1047​-1071​.​ DOI: https://doi.org/10.1111/sjos.12381 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​An anisotropic interaction model for simulating fingerprints​
    Düring, B.; Gottschlich, C. ; Huckemann, S. ; Kreusser, L. M. & Schönlieb, C.-B.​ (2019) 
    Journal of Mathematical Biology,.​ DOI: https://doi.org/10.1007/s00285-019-01338-3 
    Details  DOI  PMID  PMC 
  • 2018 Journal Article | 
    ​ ​Backward nested descriptors asymptotics with inference on stem cell differentiation​
    Huckemann, S. F.   & Eltzner, B. ​ (2018) 
    The Annals of Statistics46(5) pp. 1994​-2019​.​ DOI: https://doi.org/10.1214/17-AOS1609 
    Details  DOI 
  • 2018 Journal Article | 
    ​ ​Torus principal component analysis with applications to RNA structure​
    Eltzner, B. ; Huckemann, S.   & Mardia, K. V.​ (2018) 
    The Annals of Applied Statistics12(2) pp. 1332​-1359​.​ DOI: https://doi.org/10.1214/17-AOAS1115 
    Details  DOI 
  • 2017 Journal Article
    ​ ​Möbius Moduli for Fingerprint Orientation Fields​
    Imdahl, C. ; Gottschlich, C. ; Huckemann, S.   & Ohshika, K.​ (2017) 
    Journal of Mathematical Imaging and Vision60(5) pp. 651​-660​.​ DOI: https://doi.org/10.1007/s10851-017-0780-y 
    Details  DOI 
  • 2017 Journal Article | 
    ​ ​ESTIMATION OF PARAMETERS IN A PLANAR SEGMENT PROCESS WITH A BIOLOGICAL APPLICATION​
    Benes, V.; Vecera, J.; Eltzner, B. ; Wollnik, C.; Rehfeldt, F. ; Kralova, V. & Huckemann, S. ​ (2017) 
    Image Analysis & Stereology36(1) art. 25​.​ DOI: https://doi.org/10.5566/ias.1627 
    Details  DOI 
  • 2016 Preprint
    ​ ​Functional Inference on Rotational Curves and Identification of Human Gait at the Knee Joint​
    Telschow, F. J. E.; Huckemann, S.  & Pierrynowski, M. R.​ (2016)
    Details  arXiv 
  • 2016 Journal Article
    ​ ​Perfect fingerprint orientation fields by locally adaptive global models​
    Gottschlich, C. ; Tams, B.   & Huckemann, S. ​ (2016) 
    IET Biometrics6(3) pp. 183​-190​.​ DOI: https://doi.org/10.1049/iet-bmt.2016.0087 
    Details  DOI 
  • 2016 Journal Article
    ​ ​The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation​
    Huckemann, S. ; Kim, K.-R.; Munk, A. ; Rehfeldt, F. ; Sommerfeld, M.; Weickert, J. & Wollnik, C.​ (2016) 
    Bernoulli22(4) pp. 2113​-2142​.​ DOI: https://doi.org/10.3150/15-BEJ722 
    Details  DOI  WoS 
  • 2016 Journal Article | Research Paper
    ​ ​Drift estimation in sparse sequential dynamic imaging, with application to nanoscale fluorescence microscopy​
    Hartmann, A. K.; Huckemann, S. ; Dannemann, J.; Laitenberger, O.; Geisler, C. ; Egner, A.   & Munk, A. ​ (2016) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology)78(3) pp. 563​-587​.​ DOI: https://doi.org/10.1111/rssb.12128 
    Details  DOI  WoS 
  • 2016 Journal Article | 
    ​ ​Filter Design and Performance Evaluation for Fingerprint Image Segmentation​
    Thai, D. H.; Huckemann, S.   & Gottschlich, C. ​ (2016) 
    PLOS ONE11(5) art. e0154160​.​ DOI: https://doi.org/10.1371/journal.pone.0154160 
    Details  DOI 
  • 2015 Preprint
    ​ ​Torus Principal Component Analysis with an Application to RNA Structures​
    Eltzner, B. ; Huckemann, S.  & Mardia, K. V.​ (2015)
    Details  arXiv 
  • 2015 Conference Paper
    ​ ​Dimension Reduction on Polyspheres with Application to Skeletal Representations​
    Eltzner, B. ; Jung, S. & Huckemann, S. ​ (2015)
    In:Nielsen, Frank​ (Ed.), ​Geometric science of information pp. 22​-29. ​Second International SEE Conference on "Geometric Science of Information"​, Palaiseau.
    Cham [u.a.]​: Springer. DOI: https://doi.org/10.1007/978-3-319-25040-3_3 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Analysis of Rotational Deformations From Directional Data​
    Schulz, J.; Jung, S.; Huckemann, S. ; Pierrynowski, M.; Marron, J. S. & Pizer, S. M.​ (2015) 
    Journal of Computational and Graphical Statistics24(2) pp. 539​-560​.​ DOI: https://doi.org/10.1080/10618600.2014.914947 
    Details  DOI 
  • 2015 Conference Paper
    ​ ​Performance evaluation of fingerprint orientation field reconstruction methods​
    Oehlmann, L.; Huckemann, S.   & Gottschlich, C. ​ (2015)
    ​3rd International Workshop on Biometrics and Forensics (IWBF2015) pp. 1​-6. ​International Workshop on Biometrics and Forensics​, Gjøvik, Norway.
    Piscataway, NJ​: IEEE. DOI: https://doi.org/10.1109/iwbf.2015.7110237 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Sticky central limit theorems at isolated hyperbolic planar singularities​
    Huckemann, S. ; Mattingly, J.; Miller, E. & Nolen, J.​ (2015) 
    Electronic Journal of Probability20 pp. 1​-34​.​ DOI: https://doi.org/10.1214/ejp.v20-3887 
    Details  DOI 
  • 2015 Conference Paper
    ​ ​Towards generating realistic synthetic fingerprint images​
    Imdahl, C. ; Huckemann, S.   & Gottschlich, C. ​ (2015)
    In:Lončarić, S.​ (Ed.), ​ISPA 2015 : 9th International Symposium on Image and Signal Processing and Analysis, Zagreb, Croatia, September 7-9, 2015 pp. 78​-82. ​9th International Symposium on Image and Signal Processing and Analysis​, Zagreb.
    Piscataway​: IEEE. DOI: https://doi.org/10.1109/ispa.2015.7306036 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Intrinsic means on the circle: uniqueness, locus and asymptotics​
    Hotz, T.   & Huckemann, S. ​ (2015) 
    Annals of the Institute of Statistical Mathematics67(1) pp. 177​-193​.​ DOI: https://doi.org/10.1007/s10463-013-0444-7 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​The Filament Sensor for Near Real-Time Detection of Cytoskeletal Fiber Structures​
    Eltzner, B. ; Wollnik, C.; Gottschlich, C. ; Huckemann, S.   & Rehfeldt, F. ​ (2015) 
    PLOS ONE10(5) art. e0126346​.​ DOI: https://doi.org/10.1371/journal.pone.0126346 
    Details  DOI  PMID  PMC 
  • 2014 Book Chapter
    ​ ​(Semi-)Intrinsic Statistical Analysis on Non-Euclidean Spaces​
    Huckemann, S. ​ (2014)
    In:​Paganoni, Anna Maria; Secchi, Piercesare​ (Eds.), Advances in Complex Data Modeling and Computational Methods in Statistics pp. 103​-118. ​Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-319-11149-0_7 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints​
    Gottschlich, C.   & Huckemann, S. ​ (2014) 
    IET Biometrics3(4) pp. 291​-301​.​ DOI: https://doi.org/10.1049/iet-bmt.2013.0065 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Asymptotics for Object Descriptors​
    Telschow, F. J. E.; Huckemann, S.   & Pierrynowski, M.​ (2014) 
    Biometrical Journal56(5) pp. 781​-785​.​ DOI: https://doi.org/10.1002/bimj.201300206 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Tree-Oriented Analysis of Brain Artery Structure​
    Skwerer, S.; Bullitt, E.; Huckemann, S. ; Miller, E.; Oguz, I.; Owen, M. & Patrangenaru, V. et al.​ (2014) 
    Journal of Mathematical Imaging and Vision50(1-2) pp. 126​-143​.​ DOI: https://doi.org/10.1007/s10851-013-0473-0 
    Details  DOI 
  • 2014 Journal Article
    ​ ​Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle​
    Henke, M.; Huckemann, S. ; Kurth, W.   & Sloboda, B. ​ (2014) 
    Silva Fennica48(2) pp. 1​-23​.​ DOI: https://doi.org/10.14214/sf.1019 
    Details  DOI 
  • 2013 Journal Article
    ​ ​A comment to “Statistics on manifolds and landmark based image analysis: A nonparametric theory with applications”​
    Huckemann, S. ​ (2013) 
    Journal of Statistical Planning and Inference145 pp. 33​-36​.​ DOI: https://doi.org/10.1016/j.jspi.2013.08.004 
    Details  DOI 
  • 2013 Journal Article
    ​ ​On Means and Their Asymptotics: Circles and Shape Spaces​
    Huckemann, S.   & Hotz, T. ​ (2013) 
    Journal of Mathematical Imaging and Vision50(1-2) pp. 98​-106​.​ DOI: https://doi.org/10.1007/s10851-013-0462-3 
    Details  DOI 
  • 2013 Journal Article
    ​ ​Sticky central limit theorems on open books​
    Hotz, T. ; Huckemann, S. ; Le, H.; Marron, J. S.; Mattingly, J. C.; Miller, E. & Nolen, J. et al.​ (2013) 
    The Annals of Applied Probability23(6) pp. 2238​-2258​.​ DOI: https://doi.org/10.1214/12-aap899 
    Details  DOI 
  • 2013 Book Chapter
    ​ ​Nested Sphere Statistics of Skeletal Models​
    Pizer, S. M.; Jung, S.; Goswami, D.; Vicory, J.; Zhao, X.; Chaudhuri, R.& Damon, J. N. et al.​ (2013)
    In:​Breuß, Michael​ (Ed.), Innovations for shape analysis pp. 93​-115. ​Berlin: ​Springer. DOI: https://doi.org/10.1007/978-3-642-34141-0_5 
    Details  DOI 
  • 2012 Journal Article
    ​ ​On the meaning of mean shape: manifold stability, locus and the two sample test​
    Huckemann, S. ​ (2012) 
    Annals of the Institute of Statistical Mathematics64(6) pp. 1227​-1259​.​ DOI: https://doi.org/10.1007/s10463-012-0352-2 
    Details  DOI 
  • 2011 Conference Paper
    ​ ​Manifold stability and the central limit theorem for mean shape​
    Huckemann, S. ​ (2011)
    ​Proceedings of the 30th Leeds Annual Statistical Research Workshop 5th-7th July. ​30th Leeds Annual Statistical Research Workshop​, Leeds, United Kingdom.
    Details 
  • 2011 Journal Article
    ​ ​Inference on 3D Procrustes Means: Tree Bole Growth, Rank Deficient Diffusion Tensors and Perturbation Models​
    Huckemann, S. ​ (2011) 
    Scandinavian Journal of Statistics,.​ DOI: https://doi.org/10.1111/j.1467-9469.2010.00724.x 
    Details  DOI 
  • 2011 Journal Article
    ​ ​Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth​
    Huckemann, S. ​ (2011) 
    The Annals of Statistics39(2) pp. 1098​-1124​.​ DOI: https://doi.org/10.1214/10-aos862 
    Details  DOI 
  • 2010 Preprint
    ​ ​Dynamic shape analysis and comparison of leaf growth​
    Huckemann, S. ​ (2010)
    Details  arXiv 
  • 2010 Journal Article | Letter Note
    ​ ​Intrinsic Shape Analysis: Geodesic PCA for Riemannian Manifolds Modulo Isometric Lie Group Actions Rejoinder​
    Huckemann, S. F. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica20(1) pp. 84​-100​.​
    Details  WoS 
  • 2010 Preprint
    ​ ​Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder preprint​
    Huckemann, S. ; Hotz, T.  & Munk, A. ​ (2010)
    Details 
  • 2010 Conference Paper
    ​ ​Geodesic and parallel models for leaf shape​
    Huckemann, S.   & Hotz, T. ​ (2010)
    In:Gusnanto, A.; Mardia, K. V.; Fallaize, C. J.; Voss, J.​ (Eds.), ​High-throughput Sequencing, Proteins and Statistics pp. 39​-43. ​The 29th Leeds Annual Statistical Research (LASR) Workshop​, Leeds.
    Leeds​: Department of Statistics, University of Leeds.
    Details 
  • 2010 Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics59 pp. 127​-143​.​
    Details  WoS 
  • 2010 Journal Article | Research Paper | 
    ​ ​Moebius deconvolution on the hyperbolic plane with application to impedance density estimation​
    Huckemann, S. ; Kim, P. T.; Koo, J.-Y. & Munk, A. ​ (2010) 
    Annals of statistics38(4) pp. 2465​-2498​.​ DOI: https://doi.org/10.1214/09-AOS783 
    Details  DOI  WoS 
  • 2010 Journal Article | 
    ​ ​Rejoinder - Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica20 pp. 84​-100​.​
    Details 
  • 2010 Journal Article | 
    ​ ​Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica20 pp. 1​-100​.​
    Details 
  • 2010 Journal Article | Research Paper
    ​ ​Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    IEEE Transactions on Pattern Analysis and Machine Intelligence32(4) pp. 593​-603​.​ DOI: https://doi.org/10.1109/TPAMI.2009.117 
    Details  DOI  PMID  PMC  WoS 
  • 2009 Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2009) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics59(1) pp. 127​-143​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.683.x 
    Details  DOI 
  • 2009 Conference Paper
    ​ ​Intrinsic two-way MANOVA for shape spaces​
    Huckemann, S.   & Munk, A. ​ (2009)
    ​Proceedings of the ISI 2009. ​57th Session of the ISI​, Durban, South Africa.
    Details 
  • 2008 Journal Article
    ​ ​Principal component geodesics for planar shape spaces​
    Huckemann, S.   & Hotz, T. ​ (2008) 
    Journal of Multivariate Analysis100(4) pp. 699​-714​.​ DOI: https://doi.org/10.1016/j.jmva.2008.08.008 
    Details  DOI 
  • 2008 Journal Article | Research Paper
    ​ ​Global models for the orientation field of fingerprints: An approach based on quadratic differentials​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2008) 
    IEEE Transactions on Pattern Analysis and Machine Intelligence30(9) pp. 1507​-1519​.​ DOI: https://doi.org/10.1109/TPAMI.2007.70826 
    Details  DOI  PMID  PMC  WoS 
  • 2007 Journal Article
    ​ ​On the crossingpoint of green's function of an annulus​
    Huckemann, S. ​ (2007) 
    Complex Variables and Elliptic Equations8(3) pp. 281​-291​.​ DOI: https://doi.org/10.1080/17476938708814238 
    Details  DOI 
  • 2006 Journal Article
    ​ ​Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces​
    Huckemann, S.   & Ziezold, H.​ (2006) 
    Advances in Applied Probability38(2) pp. 299​-319​.​ DOI: https://doi.org/10.1239/aap/1151337073 
    Details  DOI 
  • 1988 Book Chapter
    ​ ​Ein Extremalproblem für das harmonische Maß einer Familie von Extremalkontinua im Einheitskreis​
    Huckemann, S. ​ (1988)
    In: Ein Extremalproblem für das harmonische Maß einer Familie von Kontinua im Einheitskreis pp. 1​-64. ​Giessen: ​Selbstverl. d. Mathem. Inst. Giessen.
    Details 
  • 1985 Book Chapter
    ​ ​Spezielle Radialschlitzgebiete von festem Modul​
    Huckemann, S. ​ (1985)
    In: Über zufällig verteilte Gitterpunkte und ein Analogon zum klassischen Ellipsoidproblem pp. 11​-23. ​Giessen: ​Selbstverl. d. Mathemat. Instituts Giessen.
    Details 

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