All publications sorted by author


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Jakob Suchan and Mehul Bhatt, Toward an Activity Theory Based Model of Spatio-Temporal Interactions: Integrating Situational Inference and Dynamic (Sensor) Control, in: STAIRS 2012 - Proceedings of the 6th Starting AI Researchers' Symposium (at ECAI-12), Frontiers in Artif. Intell. and Applications, IOS Press, IOS Press; http://www.booksonline.iospress.nl/Content/View.aspx?piid=31538, 2012
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Jakob Suchan and Mehul Bhatt, Toward High-Level Dynamic Camera Control - An Integrated Qualitative-Probabilistic Approach, in: 26th International Workshop on Qualitative Reasoning, Institute for Creative Technologies, California, USA, 2012
Jakob Suchan, Mehul Bhatt and P. E. Santos, Perceptual Narratives of Space and Motion for Semantic Interpretation of Visual Data, in: Computer Vision - ECCV 2014 Workshops - Proceedings of International Workshop on Computer Vision + Ontology Applied Cross-Disciplinary Technologies (CONTACT). ECCV 2014 -- European Conference on Computer Vision, pages 339-354, Springer International Publishing, 2015
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Jakob Suchan, Mehul Bhatt and Carl Schultz, Deeply Semantic Inductive Spatio-Temporal Learning, in: 26th International Conference on Inductive Logic Programming. London, UK, LNAI Springer, to appear
Jakob Suchan, Mehul Bhatt and Stella Yu, The Perception of Symmetry in the Moving Image: Multi-Level Computational Analysis of Cinematographic Scene Structure and its Visual Reception., in: Proceedings of the {ACM} Symposium on Applied Perception, {SAP} 2016, Anaheim, California, USA, July 22-23, 2016, 2016
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Jakob Suchan, Michael Spranger, Mehul Bhatt and Manfred Eppe, Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction, in: 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014), Queensland, Australia, 2014
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R Sun, Introduction to Computational Cognitive Modeling, in: The Cambridge handbook of computational psychology, Cambridge University Press, 2008
Charles Sutton and Andrew McCallum, An Introduction to Conditional Random Fields for Relational Learning, in: Introduction to Statistical Relational Learning, mitpress, 2006
Richard S. Sutton and Andrew G. Barto, Reinforcement learning: an introduction, MIT Press, Adaptive Computation and Machine Learning, 1998
T. Svoboda, D. Martinec and T. Pajdla, A Convenient Multi-Camera Self-Calibration for Virtual Environments (2005), in: PRESENCE: Teleoperators and Virtual Environments, 14:4(407-422)

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John T.E.Richardson, Cognitive Psychology - A Modular Course - Imagery, chapter 5, pages 103-136, Psychology Press, 1999
N A Taatgen and J R Anderson, Constraints in Cognitive Architectures, in: The Cambridge handbook of computational psychology, Cambridge University Press, 2008