Incremental learning using partial feedback for gesture-based human-swarm interaction

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2012, Pages 898-905

  Nagi, Jawad ^a   Ngo, Hung ^a   Giusti, Alessandro ^a   Gambardella, Luca M ^a   Schmidhuber, Jurgen ^a   Di Caro, Gianni A ^a  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COMMUNICATION OVERHEADS; COOPERATIVE INFORMATION EXCHANGE; HAND GESTURE; INCREMENTAL LEARNING; LEARNING APPROACH; PARTIAL FEEDBACK; ROBOT SWARMS; TRAINING SAMPLE;

COMMUNICATION;

ROBOTS;

EID: 84870777786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2012.6343865     Document Type: Conference Paper

References (23)

1. A. Giusti, J. Nagi, L. Gambardella, and G. A. Di Caro, "Cooperative sensing and recognition by a swarm of mobile robots," in Proceedings of the 25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012 (to be published).
2. C. Giraud-Carrier, "A note on the utility of incremental learning," AI Commununications, vol. 13, no. 4, pp. 215-223, 2000.
3. W.-M. Shen, "Efficient incremental induction of decision lists - can incremental learning outperform non-incremental learning?" University of Southern California, Tech. Rep. USC-ISI-96-012, 1996.
4. B. D. Argall, S. Chernova, et al., "A survey of robot learning from demonstration," Rob. & Aut. Sys., vol. 57, no. 5, pp. 469-483, 2009.
5. G. Pirlo, C. A. Trullo, and D. Impedovo, "A feedback-based multiclassifier system," in Proc. of ICDAR, 2009, pp. 713-717.
6. D. Impedovo and G. Pirlo, "Updating knowledge in feedback-based multi-classifier systems," in Proc. of ICDAR, 2011, pp. 227-231.
7. M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugnière, G. A. Di Caro, and other 22 authors, "Swarmanoid: a novel concept for the study of heterogeneous robotic swarms," IEEE Robotics & Automation Magazine, 2012 (to appear).
8. A. J. Joshi, F. Porikli, et al., "Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback." in Proc. of the IEEE Intl. Conf. on CVPR, 2010, pp. 2995-3002.
9. -, "Scalable active learning for multi-class image classification," IEEE Trans. on PAMI, vol. (to appear), 2012.
10. S. M. Kakade et al., "Efficient bandit algorithms for online multiclass prediction," in Proc. of the IEEE ICML, 2008, pp. 440-447.
11. G. Chen, G. Chen, et al., "Beyond banditron: A conservative and efficient reduction for online multiclass prediction with bandit setting model," in Proc. of the 9th IEEE ICDM, 2009, pp. 71-80.
12. S. Wang, R. Jin, and H. Valizadegan, "A potential-based framework for online multi-class learning with partial feedback," J. of Machine Learning Research, vol. 9, pp. 900-907, 2010.
13. H. Valizadegan, R. Jin, and S. Wang, "Learning to trade off between exploration and exploitation in multiclass bandit prediction," in Proc. of the 17th ACM Intl. Conf. on KDD, 2011, pp. 204-212.
14. K. Crammer et al., "Multiclass classification with bandit feedback using adaptive regularization," in Proc. of ICML, 2011, pp. 273-280.
15. P. Auer, "Using confidence bounds for exploitation-exploration tradeoffs," J. of Machine Learning Research, vol. 3, pp. 397-422, 2003.
16. R. Rifkin, G. Yeo, and T. Poggio, "Regularized least squares classification," Advances in Learning Theory: Methods, Models and Applications NATO Science Series III, vol. 190, pp. 131-154, 2003.
17. K. S. Azoury and M. K. Warmuth, "Relative loss bounds for on-line density estimation with the exponential family of distributions," J. of Machine Learning Research, vol. 43, no. 3, pp. 211-246, Jun. 2001.
18. V. Vovk, "Competitive on-line statistics," International Statistical Review, vol. 69, no. 2, pp. 213-248, 2001.
19. R. Rifkin and A. Klautau, "In defense of one-vs-all classification," J. of Machine Learning Research, vol. 5, pp. 101-141, 2004.
20. Y. Chen and X. Ye, "Projection onto a simplex," University of Florida, Tech. Rep., Jan. 2011.
21. N. Cesa-Bianchi et al., "Incremental algorithms for hierarchical classification," J. of Machine Learning Research, vol. 7, pp. 31-54, 2006.
22. N. Cesa-Bianchi, C. Gentile, et al., "Robust bounds for classification via selective sampling," in Proc. of the ICML, 2009, pp. 121-128.
23. J. Nagi, F. Ducatelle, G. A. Di Caro, et al., "Max-pooling convolutional neural networks for vision-based hand gesture recognition," in Proc. of the IEEE ICSIPA, 2011, pp. 342-347.