Biblio

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2004
[Anonymous] (2004).  Efficient approximations for support vector machines for object detection. {Pattern Recognition, Proc. of the 26th DAGM Symposium}. 54–61.PDF icon Kienzle, Bakır, Franz_2004_Efficient approximations for support vector machines for object detection.pdf (165.13 KB)
[Anonymous] (2004).  Implicit estimation of Wiener series. {Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}. 735–744.PDF icon Franz, Schölkopf_2004_Implicit estimation of Wiener series.pdf (191.86 KB)
[Anonymous] (2004).  Implicit Wiener series for capturing higher-order interactions in images. {Proc. Sensory Coding and the Natural Environment 2004}.
[Anonymous] (2004).  Insect-inspired estimation of egomotion.. Neural Computation. 16, 2245–60.
[Anonymous] (2004).  Kernel Hebbian algorithm for single-frame super-resolution. {Statistical Learning in Computer Vision (SLCV 2004), ECCV 2004 Workshop, Prague}. 135–149.PDF icon Kim, Franz, Schölkopf_2004_Kernel Hebbian algorithm for single-frame super-resolution.pdf (2.22 MB)
[Anonymous] (2004).  Learning depth. {Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68.PDF icon Sinz et al Learning depth 2004.pdf (197 KB)
[Anonymous] (2004).  Learning depth from stereo. {Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 245 – 252.
[Anonymous] (2004).  Multivariate Regression via Stiefel Manifold Constraints. {Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
[Anonymous] (2004).  Semi-supervised kernel regression using whitened function classes. {Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 18 – 26.PDF icon Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)
2003
[Anonymous] (2003).  Constraints measures and reproduction of style in robot imitation learning. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
[Anonymous] (2003).  Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning. {Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458.PDF icon Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
[Anonymous] (2003).  Linear combinations of optic flow vectors for estimating self-motion-a real-world test of a neural model. {Advances in Neural Information Processing Systems 15}. 1343–1350.
[Anonymous] (2003).  A representation of complex movement sequences based on hierarchical spatio-temporal correspondence for imitation learning in robotics. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 74.
[Anonymous] (2003).  Robots with cognition?. {Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}.
2002
[Anonymous] (2002).  Insect-inspired estimation of self-motion. {Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}. 2525, 171-180.PDF icon Franz, Chahl_2002_Insect-inspired estimation of self-motion.pdf (274.5 KB)
[Anonymous] (2002).  Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons. {SAB02 Workshop on Robotics as Theoretical Biology}.
2000
[Anonymous] (2000).  Biomimetic robot navigation. Robotics and Autonomous Systems. 30, 133 – 153.PDF icon Franz, Mallot_2000_Biomimetic robot navigation.pdf (171.77 KB)
[Anonymous] (2000).  Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen. {Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.
[Anonymous] (2000).  Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biol. Cybern.. 83, 185 – 197.PDF icon Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
1999
[Anonymous] (1999).  Can fly tangential neurons be used to estimate self-motion?. {Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999.PDF icon Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
[Anonymous] (1999).  Recognition-triggered response and the view-graph approach to spatial cognition. {Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}. 1661, 367-380.
[Anonymous] (1999).  On robots and flies: Modeling the visual orientation behavior of flies. Robotics and Autonomous Systems. 29, 227–242.PDF icon Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)

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