Publications
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Filters: Author is Giese, Martin A. [Clear All Filters]
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. In: Artificial Neural Networks and Machine Learning – ICANN 2014. Artificial Neural Networks and Machine Learning – ICANN 2014. Springer International Publishing; 2014. Available from: http://dx.doi.org/10.1007/978-3-319-11179-7_76
. The Default Mode Network Differentiates Biological From Non-Biological Motion. Cerebral Cortex [Internet]. 2014 . Available from: http://cercor.oxfordjournals.org/content/early/2014/09/12/cercor.bhu199.abstract
. An Intact Action-Perception Coupling Depends on the Integrity of the Cerebellum. The Journal of Neuroscience [Internet]. 2014 ;34:6707-6716. Available from: http://www.jneurosci.org/content/34/19/6707.abstract
. The contribution of different cues of facial movement to the emotional facial expression adaptation aftereffect. Journal of Vision [Internet]. 2013 ;13:1–15. Available from: http://www.journalofvision.org/content/13/1/23
. Expression of emotion in the kinematics of locomotion. Experimental Brain Research [Internet]. 2013 ;225:159–176. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Barliya2012.pdf
. A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape. Physica D: Nonlinear Phenomena. 2013 ;263:41–56.
. Kinematics of the coordination of pointing during locomotion. Plos One [Internet]. 2013 . Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0079555
. Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions. The Journal of Neuroscience, in press [Internet]. 2013 . Available from: http://www.jneurosci.org/content/33/15/6563.full
. A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. Proceedings of the ACM Symposium on Applied Perception [Internet]. 2013 :41-44. Available from: http://doi.acm.org/10.1145/2492494.2492515
. Dynamically stable control of articulated crowds. Journal of Computational Science [Internet]. 2012 . Available from: http://www.sciencedirect.com/science/article/pii/S1877750312001081
. Online Simulation of Emotional Interactive Behaviors with Hierarchical Gaussian Process Dynamical Models. Proceedings of the ACM Symposium on Applied Perception (ACM-SAP 2012) [Internet]. 2012 :25-32. Available from: http://dl.acm.org/citation.cfm?id=2338682
. Understanding the Semantic Structure of Human fMRI Brain Recordings With Formal Concept Analysis. In: Proceedings of the 10h International Conference on Formal Concept Analysis (ICFCA 2012). Proceedings of the 10h International Conference on Formal Concept Analysis (ICFCA 2012). Springer; 2012. pp. 1-16. Available from: http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/2012/ICFCA-2012-Adam.pdf
. Analysis and design of the dynamical stability of collective behavior in crowds . Journal of WSCG [Internet]. 2011 ;19:69–76. Available from: https://otik.uk.zcu.cz/bitstream/handle/11025/1244/Mukovskiy.pdf?sequence=4
. Emulating Human Observers with Bayesian Binning: Segmentation of Action Streams. ACM Transactions on Applied Perception (TAP) [Internet]. 2011 ;8:16:1-12. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Endres_TAP2011.pdf
. Anechoic Blind Source Separation using Wigner Marginals. Journal of Machine Learning Research [Internet]. 2011 ;12:1111-1148. Available from: http://jmlr.csail.mit.edu/papers/volume12/omlor11a/omlor11a.pdf
. Shaking hands in latent space: modeling emotional interactions with Gaussian process latent variable models. In: {KI}2011, {LNAI} 7006. {KI}2011, {LNAI} 7006. Springer; 2011. pp. 330-334. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Taubert_KI2011.pdf
. Spatiotemporal tuning of the facilitation of biological motion perception by concurrent motor execution. J Neurosci [Internet]. 2011 ;31:3493–3499. Available from: http://dx.doi.org/10.1523/JNEUROSCI.4277-10.2011
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