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Arne Ehlers
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2010 – 2019
- 2017
- [b1]Arne Ehlers:
Object detection using feature mining in a distributed machine learning framework. University of Hanover, Hannover, Germany, VDI Verlag GmbH 2017, ISBN 978-3-18-385510-0, pp. 1-148 - 2016
- [j1]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Recognizing human actions using novel space-time volume binary patterns. Neurocomputing 173: 54-63 (2016) - 2015
- [c14]Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn:
On-The-Fly Handwriting Recognition Using a High-Level Representation. CAIP (1) 2015: 1-13 - [c13]Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn:
Probabilistic nodes for modelling classification uncertainty for random forest. MVA 2015: 510-513 - [c12]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Wei Liu:
Sequential Boosting for Learning a Random Forest Classifier. WACV 2015: 442-447 - 2014
- [c11]Florian Baumann, Arne Ehlers, Bodo Rosenhahn, Jie Liao:
Computation strategies for volume local binary patterns applied to action recognition. AVSS 2014: 68-73 - [c10]Florian Baumann, Jie Lao, Arne Ehlers, Bodo Rosenhahn:
Motion Binary Patterns for Action Recognition. ICPRAM 2014: 385-392 - [c9]Florian Baumann, Fangda Li, Arne Ehlers, Bodo Rosenhahn:
Thresholding a Random Forest Classifier. ISVC (2) 2014: 95-106 - [c8]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Boosted Fractal Integral Paths for Object Detection. ISVC (2) 2014: 458-470 - 2013
- [c7]Arne Ehlers, Björn Scheuermann, Florian Baumann, Bodo Rosenhahn:
Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors. CIARP (1) 2013: 456-463 - [c6]Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn:
Cascaded Random Forest for Fast Object Detection. SCIA 2013: 131-142 - [c5]Arne Ehlers, Florian Baumann, Bodo Rosenhahn:
Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification. SCIA 2013: 420-431 - 2011
- [c4]Arne Ehlers, Florian Baumann, Ralf Spindler, Birgit Glasmacher
, Bodo Rosenhahn:
PCA Enhanced Training Data for Adaboost. CAIP (1) 2011: 410-419 - [c3]Björn Scheuermann, Arne Ehlers, H. Riazy, Florian Baumann, Bodo Rosenhahn:
Ego-motion compensated face detection on a mobile device. CVPR Workshops 2011: 66-71 - 2010
- [c2]Florian Baumann, Katharina Ernst, Arne Ehlers, Bodo Rosenhahn:
Symmetry Enhanced Adaboost. ISVC (1) 2010: 286-295
2000 – 2009
- 2009
- [c1]André Gooßen, Arne Ehlers, Thomas Pralow, Rolf-Rainer Grigat:
High Quality Image Magnification Using Cross-Scale Self-Similarity. Bildverarbeitung für die Medizin 2009: 444-448
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