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Daniel Oberhoff
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Books and Theses
- 2013
- [b1]Daniel Oberhoff:
Hierarchical probabilistic graphical models for image recognition. University of Ulm, 2013
Journal Articles
- 2008
- [j1]Daniel Oberhoff, Marina Kolesnik:
Neural Object Recognition by Hierarchical Appearance Learning. Int. J. Pattern Recognit. Artif. Intell. 22(5): 883-897 (2008)
Conference and Workshop Papers
- 2011
- [c7]Matthias Höffken, Daniel Oberhoff, Marina Kolesnik:
Temporal Prediction and Spatial Regularization in Differential Optical Flow. ACIVS 2011: 576-585 - [c6]Daniel Oberhoff, Dominik Endres, Martin A. Giese
, Marina Kolesnik:
Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. KI 2011: 228-232 - 2009
- [c5]Matthias Höffken, Daniel Oberhoff, Marina Kolesnik:
Switching Hidden Markov Models for Learning of Motion Patterns in Videos. ICANN (1) 2009: 757-766 - 2008
- [c4]Daniel Oberhoff, Marina Kolesnik:
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences. ICANN (1) 2008: 235-244 - 2007
- [c3]Daniel Oberhoff, Marina Kolesnik:
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes. BVAI 2007: 288-297 - 2006
- [c2]Daniel Oberhoff, Andy Stynen, Marina Kolesnik:
Neural Network Architecture for Modeling the Joint Visual Perception of Orientation, Motion, and Depth. PIT 2006: 32-39 - 2004
- [c1]Tobi Delbrück, Daniel Oberhoff:
Self-biasing low power adaptive photoreceptor. ISCAS (4) 2004: 844-847
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