Multi-modal Fusion based on classifiers using reject options and Markov Fusion Networks

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2012, Pages 1084-1087

  Glodek, Michael ^a   Schels, Martin ^a   Palm, Gunther ^a   Schwenker, Friedhelm ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MULTI-MODAL FUSION; MULTICLASSIFIER SYSTEM; MULTIPLE CHANNELS; SAMPLE RATE;

PATTERN RECOGNITION;

HUMAN COMPUTER INTERACTION;

EID: 84874562869     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. M. Bicego, V. Murino, and M. Figueiredo. Similaritybased clustering of sequences using hidden Markov models. In Proceedings of the International conference on Machine Learning and Data Mining (MLDM), volume 2734 of Lecture Notes in Computer Science (LNCS), pages 95-104. Springer, 2003.
2. C. M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
3. L. Breiman. Bagging predictors. Machine Learning, 24(2): 123-140, 1996.
4. L. Breiman. Random forests. Machine Learning, 45(1): 5-32, 2001.
5. C. Chow. On optimum recognition error and reject tradeoff. IEEE Transactions on Information Theory, 16(1): 41-46, 1970.
6. J. Diebel and S. Thrun. An application of Markov random fields to range sensing. In Proceedings of Advances in Neural Information Processing Systems (NIPS), volume 18, pages 291-298. MIT Press, 2006.
7. X. Huang, A. Acero, H. Hon, et al. Spoken language processing: A Guide to Theory, Algorithm and System Development. Prentice Hall, 2001.
8. L. I. Kuncheva. Combining Pattern Classifiers: Methods and Algorithms. Wiley, 2004.
9. G. Littlewort, J. Whitehill, T. Wu, I. Fasel, M. Frank, J. Movellan, and M. Bartlett. The computer expression recognition toolbox (CERT). In Proceedings of the International Conference on Automatic Face & Gesture Recognition and Workshops, pages 298-305. IEEE, 2011.
10. G. McKeown, M. Valstar, R. Cowie, and M. Pantic. The SEMAINE corpus of emotionally coloured character interactions. In Proceedings of the International Conference on Multimedia and Expo (ICME), pages 1079-1084. IEEE, 2010.
11. S. Scherer, M. Glodek, F. Schwenker, N. Campbell, and G. Palm. Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data. ACM Transactions on Interactive Intelligent Systems, 2(1): 4: 1-4: 31, 2012.
12. B. Schuller, M. Valstar, F. Eyben, G. McKeown, R. Cowie, and M. Pantic. AVEC 2011-the first international audio visual emotion challenges. In Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), volume 6975 of Lecture Notes in Computer Science (LNCS), pages 415-424, 2011. Part II.
13. A. Vinciarelli, M. Pantic, H. Bourlard, and A. Pentland. Social signal processing: State-of-the-art and future perspectives of an emerging domain. In Proceedings of the International Conference on Multimedia (MM), pages 1061-1070. ACM, 2008.