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[1] H. Jacobsson, N. Hawes, D. Skocaj, and GJ Kruijff. Interactive learning and cross-modal binding - a combined approach. In Language and robots : proceedings of the symposium, pages 53-54, Aveiro, Portugal, December 2007.
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[2] G.J.M. Kruijff, P. Lison, T. Benjamin, H. Jacobsson, and N. Hawes. Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction. In Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007.
[ bib ]
[3] G.J.M. Kruijff and M. Staudte. Producing believeable robot gaze when comprehending visually situated dialogue. In Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007.
[ bib ]
[4] H. Zender and G.J.M. Kruijff. Towards generating referring expressions in a mobile robot scenario. In Language and Robots: Proceedings from the Symposium (LangRo'2007), Aveiro, Portugal, December 2007.
[ bib ]
[5] Hendrik Zender and Geert-Jan M. Kruijff. Towards generating referring expressions in a mobile robot scenario. In Language and Robots: Proceedings of the Symposium, pages 101-106, Aveiro, Portugal, December 2007.
[ bib ]
[6] O. Martínez Mozos, P. Jensfelt, H. Zender, G.J.M. Kruijff, and W. Burgard. An integrated system for conceptual spatial representations of indoor environments for mobile robots. In Proceedings of the IROS 2007 Workshop: From Sensors to Human Spatial Concepts (FS2HSC), San Diego, CA, USA, November 2007.
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[7] Dušan Omercevic, Ondrej Drbohlav, and Aleš Leonardis. High-dimensional feature matching: Employing the concept of meaningful nearest neighbors. In Eleventh IEEE International Conference on Computer Vision ICCV 2007, Rio de Janeiro, Brazil, October 14-20 2007.
[ bib ]
[8] John Folkesson, Patric Jensfelt, and Henrik Christensen. The m-space feature representation for slam. IEEE Transactions on Robotics, 23(5):1024-1035, October 2007.
[ bib ]
[9] J. Luo, A. Pronobis, B. Caputo, and P. Jensfelt. Incremental learning for place recognition in dynamic environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS07), San Diego, CA, USA, October 2007.
[ bib | .pdf ]
[10] A. Pronobis and B. Caputo. Confidence-based cue integration for visual place recognition. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS07), San Diego, CA, USA, October 2007.
[ bib | .pdf ]
[11] Michael Stark and Bernt Schiele. How good are local features for classes of geometric objects. In Proceedings of the 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, October 2007.
[ bib | .pdf ]
[12] M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, and P. Jensfelt. The COLD database. Technical Report TRITA-CSC-CV 2007:1, Kungliga Tekniska Hoegskolan, CVAP/CAS, October 2007.
[ bib | http ]
[13] K. Kersting, C. Plagemann, A. Cocora, W. Burgard, and L. De Raedt. Learning to transfer optimal navigation policies. Advanced Robotics. Special Issue on Imitative Robots, 21(9), September 2007.
[ bib ]
[14] Hendrik Zender, Patric Jensfelt, and Geert-Jan M. Kruijff. Human- and situation-aware people following. In Proc. of the 16th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2007), Jeju Island, Korea, August 2007.
[ bib | .pdf ]
[15] Edgar Seemann. People Detection in Crowded Scenes. PhD thesis, TU Darmstadt, Darmstadt, Germany, July 2007.
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[16] H. Zender, P. Jensfelt, O. Martínez Mozos, G.J.M. Kruijff, and W. Burgard. An integrated robotic system for spatial understanding and situated interaction in indoor environments. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), pages 1584-1589, Vancouver, Canada, July 2007. Special Track on Integrated Intelligence.
[ bib ]
[17] S. Fidler and A. Leonardis. Towards scalable representations of object categories: Learning a hierarchy of parts. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minnesota, USA, June 2007.
[ bib ]
[18] T. Lang, C. Plagemann, and W. Burgard. Adaptive non-stationary kernel regression for terrain modeling. In Robotics: Science and Systems (RSS), Atlanta, Georgia, USA, June 2007.
[ bib ]
[19] C. Plagemann, K. Kersting, P. Pfaff, and W. Burgard. Gaussian beam processes: A nonparametric bayesian measurement model for range finders. In Robotics: Science and Systems (RSS), Atlanta, Georgia, USA, June 2007.
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[20] Edgar Seemann, Mario Fritz, and Bernt Schiele. Towards robust pedestrian detection in crowded image sequences. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Minneapolis, USA, June 2007.
[ bib | .pdf ]
[21] R. Looije, M. Neerincx, and G.J.M. Kruijff. Affective collaborative robots for safety & crisis management in the field. In Proceedings of the 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2007), Delft, The Netherlands, May 2007.
[ bib ]
[22] O. Martínez Mozos, R. Triebel, P. Jensfelt, A. Rottmann, and W. Burgard. Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems, 55(5):391-402, May 2007.
[ bib | .pdf ]
[23] Henrik Jacobsson, Geert-Jan Kruijff, and Maria Staudte. From rule extraction to active learning symbol grounding. In Proceedings of ICRA 2007 Workshop on Concept Learning for Embodied Agents, Rome, Italy, April 2007.
[ bib | .pdf ]
[24] M. Fritz, G-J. M. Kruijff, and B. Schiele. Cross-modal learning of visual categories using different levels of supervision. In International Conference on Computer Vision Systems (ICVS), Bielefeld, Germany, March 2007.
[ bib | .pdf ]
[25] K. Kersting, C. Plagemann, P. Pfaff, and W. Burgard. Most likely heteroscedastic gaussian process regression. In International Conference on Machine Learning (ICML), Corvallis, Oregon, USA, March 2007.
[ bib ]
[26] G.J.M. Kruijff and M. Brenner. Modelling spatio-temporal comprehension in situated human-robot dialogue as reasoning about intentions and plans. In Proceedings of the Symposium on Intentions in Intelligent Systems, Stanford University, Palo Alto, CA, USA, March 2007. AAAI Spring Symposium Series 2007.
[ bib ]
[27] D. Skocaj, G. Berginc, B. Ridge, A. Štimec, M. Jogan, O. Vanek, A. Leonardis, M. Hutter, and N. Hewes. A system for continuous learning of visual concepts. In International Conference on Computer Vision Systems ICVS 2007, Bielefeld, Germany, March 2007.
[ bib | .pdf ]
[28] Hendrik Zender and Geert-Jan M. Kruijff. Multi-layered conceptual spatial mapping for autonomous mobile robots. In Holger Schultheis, Thomas Barkowsky, Benjamin Kuipers, and Bernhard Hommel, editors, Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems, volume Technical Report SS-07-01 of Papers from the AAAI Spring Symposium, pages 62-66, Menlo Park, CA, USA, March 2007. AAAI Press.
[ bib ]
[29] M. Kristan, J. Perš, A. Leonardis, and S. Kovacic. Probabilistic tracking using optical flow to resolve color ambiguities. In Computer Vision Winter Workshop 2007, St. Lambrecht, Austria, February 2007.
[ bib | .pdf ]
[30] D. Skocaj, B. Ridge, G. Berginc, and A. Leonardis. A framework for continuous learning of simple visual concepts. In Computer Vision Winter Workshop 2007, pages 99-105, St. Lambrecht, Austria, February 2007.
[ bib | .pdf ]
[31] K. O. Arras, O. Martínez Mozos, and W. Burgard. Using boosted features for the detection of people in 2d range data. In Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2007.
[ bib | .pdf ]
[32] M. Ballesta, A. Gil, O. Martínez Mozos, and O. Reinoso. Local descriptors for visual slam. In Proc. of the Workshop on Robotics and Mathematics, Coimbra, Portugal, 2007.
[ bib | .pdf ]
[33] M. Brenner, N. Hawes, J. Kelleher, and J. Wyatt. Mediating between qualitative and quantitative representations for task-orientated human-robot interaction. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
[ bib | .pdf ]
[34] N. Hawes, A. Sloman, J. Wyatt, M. Zillich, H. Jacobsson, G.J.M. Kruijff, M. Brenner, G. Berginc, and D. Skocaj. Towards an integrated robot with multiple cognitive functions. In Proceedings of the 22nd Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada, 2007.
[ bib ]
[35] H. Jacobsson, G.J.M. Kruijff, and M. Staudte. Language acquisition from neural and sensorimotor systems. In Proceedings of the PASCAL workshop on Machine Learning and Cognitive Science of Language Acquisition, 2007.
[ bib ]
[36] M. Kristan, J. Perš, A. Leonardis, and S. Kovacic. Local-motion-based probabilistic tracking. In submitted, 2007.
[ bib ]
[37] Geert-Jan M. Kruijff, Hendrik Zender, Patric Jensfelt, and Henrik I. Christensen. Situated dialogue and spatial organization: What, where... and why? International Journal of Advanced Robotic Systems, 4(2), 2007.
[ bib | .pdf ]
[38] Ales Leonardis and Sanja Fidler. Learning hierarchical representations of object categories for robot vision. In 13th International Symposium of Robotics Research, (ISRR 2007), Hiroshima, JAPAN, 2007. Invited talk.
[ bib | .pdf ]
[39] Óscar Martínez Mozos, Patric Jensfelt, Hendrik Zender, Geert-Jan M. Kruijff, and Wolfram Burgard. From labels to semantics: An integrated system for conceptual spatial representations of indoor environments for mobile robots. In Proc. of the IEEE ICRA 2007 Workshop: Semantic information in robotics (ICRA), Roma, Italy, 2007.
[ bib | .pdf ]
[40] C. Plagemann, D. Fox, and W. Burgard. Efficient failure detection on mobile robots using particle filters with gaussian process proposals. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, 2007.
[ bib ]
[41] Cyrill Stachniss, Giorgio Grisetti, Óscar Martínez Mozos, and Wolfram Burgard. Efficiently learning metric and topological maps with autonomous service robots. it-Information Technology, 49(4):232-237, 2007.
[ bib | .pdf ]
[42] R. Triebel, R. Schmidt, O. Martínez Mozos, and W. Burgard. Instace-based amn classification for improved object recognition in 2d and 3d laser range data. In Proc. of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), pages 2225-2230, Hyderabad, India, 2007.
[ bib | .pdf ]
[43] M. Uray, D. Skocaj, P. Roth, H. Bischof, and A. Leonardis. Incremental LDA learning by combining reconstructive and discriminative approaches. In British machine vision conference 2007, pages 272-281, 2007.
[ bib | .pdf ]
[44] Michael Zillich. Incremental Indexing for Parameter-Free Perceptual Grouping. In 31st Workshop of the Austrian Association for Pattern Recognition, 2007.
[ bib | .pdf ]
[45] Henrik Jacobsson, Stefan L. Frank, and Diego Federici. Automated abstraction of dynamic neural systems for natural language processing. In Proceedings of International Conference on Neural Networks 2007, to appear.
[ bib | .pdf ]
[46] Rudolph Triebel, Óscar Martínez Mozos, and Wolfram Burgard. Studies in Classification, Data Analysis, and Knowledge Organization, chapter Relational Learning in Mobile Robotics: An Application to Semantic Labeling of Objects in 2D and 3D Environment Maps.
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