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
1002013
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
612018
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
592020
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
592015
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
422017
Local Novelty Detection in Multi-class Recognition Problems
P Bodesheim, A Freytag, E Rodner, J Denzler
WACV 2015, 2015
392015
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 (3), 1327-1365, 2018
382018
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
302013
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
282012
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
212012
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
192017
Earth system data cubes unravel global multivariate dynamics
MD Mahecha, F Gans, G Brandt, R Christiansen, SE Cornell, N Fomferra, ...
Earth System Dynamics 11 (1), 201-234, 2020
172020
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
152016
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
102015
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
102014
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, ...
92017
Maximally divergent intervals for anomaly detection
E Rodner, B Barz, Y Guanche, M Flach, M Mahecha, P Bodesheim, ...
arXiv preprint arXiv:1610.06761, 2016
92016
Divergence-Based One-Class Classification Using Gaussian Processes
P Bodesheim, E Rodner, A Freytag, J Denzler
BMVC 2012, 50.1--50.11, 2012
82012
Classification-specific parts for improving fine-grained visual categorization
D Korsch, P Bodesheim, J Denzler
German Conference on Pattern Recognition, 62-75, 2019
72019
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
62017
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Articles 1–20