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 | 179 | 2020 |
Kernel Null Space Methods for Novelty Detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler CVPR 2013, 3374--3381, 2013 | 134 | 2013 |
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 | 108 | 2018 |
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 | 72 | 2018 |
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 | 68 | 2017 |
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 | 66 | 2015 |
Local Novelty Detection in Multi-class Recognition Problems P Bodesheim, A Freytag, E Rodner, J Denzler WACV 2015, 2015 | 59 | 2015 |
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 | 39 | 2020 |
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 | 32 | 2013 |
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 | 30 | 2012 |
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 | 29 | 2017 |
Classification-specific parts for improving fine-grained visual categorization D Korsch, P Bodesheim, J Denzler German Conference on Pattern Recognition, 62-75, 2019 | 25 | 2019 |
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 | 22 | 2012 |
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 | 17 | 2016 |
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 | 11 | 2018 |
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 | 11 | 2017 |
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 | 11 | 2015 |
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 | 11 | 2014 |
Maximally divergent intervals for anomaly detection E Rodner, B Barz, Y Guanche, M Flach, M Mahecha, P Bodesheim, ... arXiv preprint arXiv:1610.06761, 2016 | 9 | 2016 |
End-to-end learning of fisher vector encodings for part features in fine-grained recognition D Korsch, P Bodesheim, J Denzler DAGM German Conference on Pattern Recognition, 142-158, 2021 | 8 | 2021 |