Paul Bodesheim
Paul Bodesheim
Computer Vision Group, Friedrich Schiller University Jena, Germany
Verified email at uni-jena.de
Title
Cited by
Cited by
Year
Kernel Null Space Methods for Novelty Detection
P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler
CVPR 2013, 3374--3381, 2013
942013
Active learning and discovery of object categories in the presence of unnameable instances
C Kading, A Freytag, E Rodner, P Bodesheim, J Denzler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
552015
When tree rings go global: challenges and opportunities for retro-and prospective insight
F Babst, P Bodesheim, N Charney, AD Friend, MP Girardin, S Klesse, ...
Quaternary Science Reviews 197, 1-20, 2018
472018
Local Novelty Detection in Multi-class Recognition Problems
P Bodesheim, A Freytag, E Rodner, J Denzler
WACV 2015, 2015
402015
Improved tree-ring archives will support earth-system science
F Babst, B Poulter, P Bodesheim, MD Mahecha, DC Frank
Nature Ecology & Evolution 1 (2), 1-2, 2017
352017
Labeling examples that matter: Relevance-based active learning with gaussian processes
A Freytag, E Rodner, P Bodesheim, J Denzler
German Conference on Pattern Recognition, 282-291, 2013
282013
Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product
P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein
Earth System Science Data 10, 1327-1365, 2018
262018
Large-scale gaussian process classification with flexible adaptive histogram kernels
E Rodner, A Freytag, P Bodesheim, J Denzler
European Conference on Computer Vision, 85-98, 2012
262012
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
M Jung, C Schwalm, M Migliavacca, S Walther, G Camps-Valls, S Koirala, ...
Biogeosciences 17 (5), 1343-1365, 2020
202020
Rapid uncertainty computation with gaussian processes and histogram intersection kernels
A Freytag, E Rodner, P Bodesheim, J Denzler
Asian Conference on Computer Vision, 511-524, 2012
192012
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques
M Flach, F Gans, A Brenning, J Denzler, M Reichstein, E Rodner, ...
Earth System Dynamics 8 (3), 677-696, 2017
162017
Diagnosing the dynamics of observed and simulated ecosystem gross primary productivity with time causal information theory quantifiers
S Sippel, H Lange, MD Mahecha, M Hauhs, P Bodesheim, T Kaminski, ...
PloS one 11 (10), e0164960, 2016
132016
Earth system data cubes unravel global multivariate dynamics
MD Mahecha, F Gans, G Brandt, R Christiansen, SE Cornell, N Fomferra, ...
Earth System Dynamics, 201-234, 2020
122020
Temporal video segmentation by event detection: A novelty detection approach
MV Krishna, P Bodesheim, M Körner, J Denzler
Pattern recognition and image analysis 24 (2), 243-255, 2014
112014
Ranking drivers of global carbon and energy fluxes over land
G Camps-Valls, M Jung, K Ichii, D Papale, G Tramontana, P Bodesheim, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
92015
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques, Earth Syst. Dynam., 8, 677–696
M Flach, F Gans, A Brenning, J Denzler, M Reichstein, E Rodner, ...
72017
Maximally divergent intervals for anomaly detection
E Rodner, B Barz, Y Guanche, M Flach, M Mahecha, P Bodesheim, ...
arXiv preprint arXiv:1610.06761, 2016
72016
Divergence-Based One-Class Classification Using Gaussian Processes
P Bodesheim, E Rodner, A Freytag, J Denzler
BMVC 2012, 50.1--50.11, 2012
72012
Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data, 10, 1327–1365
P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein
52018
Large-scale gaussian process inference with generalized histogram intersection kernels for visual recognition tasks
E Rodner, A Freytag, P Bodesheim, B Fröhlich, J Denzler
International Journal of Computer Vision 121 (2), 253-280, 2017
52017
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Articles 1–20