Topological mapping with multiple visual manifolds

Robotics: Science and Systems

Volumn 1, Issue , 2005, Pages 185-192

  Grudic, Greg ^a   Mulligan, Jane ^a  

^a University of Colorado at Boulder   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33846992057     PISSN: None     EISSN: 2330765X     Source Type: Conference Proceeding    
DOI: 10.15607/rss.2005.i.025     Document Type: Conference Paper

References (22)

1. S. Thrun. Robotic mapping: A survey. In G. Lakemeyer and B. Nebel, editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann, 2002.
2. Emilio Remolina and Benjamin Kuipers. Towards a general theory of topological maps. Artificial Intelligence, 152:47-104, 2004.
3. Fabrice Pourraz and James L. Crowley. Continuity properties of the appearance manifold for mobile robot position estimation. In Symposium for Intelligent Robotics Systems, SIRS'98, 1998. To Appear., 1998.
4. B. J. A. Kröse and R. Bunschoten. Probabilistic localization by appearance models and active vision. In Proc. of the 1999 IEEE International Conference on Robotics and Automation, pages 2255-2260, Detroit, MI, May 1999.
5. Iwan Ulrich and Illah Nourbakhsh. Appearance-based place recognition for topological localization. In Proc of the 2000 IEEE Int. Conf. on Robotics and Automation, pages 1023-1029, San Francisco, CA, April 2000.
6. Benjamin Kuipers and Patrick Beeson. Bootstrap learning for place recognition. In Proc of the 18th Natnl Conf on AI (AAAI02), 2002.
7. Robert Sim and Gregory Dudek. Comparing image-based localization methods. In Proc Int. Joint Conf. on AI (IJCAI03), 2003.
8. B. J. Kuipers and Y.-T. Byun. A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations. Journal of Robotics and Autonomous Systems, 8:47-63, 1991.
9. Gregory Dudek, Michael Jenkin, Evangelos Milios, and David Wilkes. Robot exploration as graph construction. IEEE Transactions on Robotics and Automation, 7(6):859-865, Dec 1991.
10. S. Maeda, Y. Kuno, and Y. Shirai. Active navigation vision based on eigenspace analysis. In Proc. 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems, volume 2, pages 1018-1023, 1997.
11. Alonzo Kelly. Mobile robot localization from large scale appearance mosaics. International Journal of Robotics Research, 19(11):1104-1125, 2000.
12. Yoshio Matsumoto, Masayuki Inaba, and Hirochika Inoue. View-based approach to robot navigation. In Proceedings of 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'2000), pages 1702-1708, Takamatsu, Japan, Nov 2000.
13. K. Q. Weinberger and L. K. Saul. Unsupervised learning of image manifolds by semidefinite programming. In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Patter Recognition (CVPR'04), 2004.
14. Jiambo Shi and Jitendra Malik. Normalized cuts and image segmentation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 22(8):888-905, 2002.
15. A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In Advances in Neural Information Processing Systems (NIPS), volume 14, 2002.
16. Deepak Verma and Marina Meila. A comparison of spectral clustering algorithms. Technical Report 03-05-01, Department of Computer Science and Engineering , University of Washington, 2003.
17. Markus Breitenbach and Greg Grudic. Clustering through ranking on manifolds. In The 22nd International Conference on Machine Learning (ICML 2005), 2005.
18. D. Zhou, O. Bousquet, T.N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In Advances in Neural Information Processing Systems (NIPS), volume 16, 2004.
19. D. Zhou, J. Weston, A. Gretton, O. Bousquet, and B. Schölkopf. Ranking on data manifolds. In Advances in Neural Information Processing Systems (NIPS), volume 16, 2004.
20. J. R Anderson. The Architecture of Cognition. Harvard University Press, Cambridge, Massachusetts, 1983.
21. J. Shrager, T. Hogg, and B. A. Huberman. Observation of phase transitions in spreading activation networks. Science, 236:1092-1094, 1987.
22. Pascal Vincent Yoshua Bengio, Jean-Francois Paiement. Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering. In Advances in Neural Information Processing Systems (NIPS), volume 16, 2003.