Multiple classifier combination using reject options and markov fusion networks

ICMI'12 - Proceedings of the ACM International Conference on Multimodal Interaction

Volumn , Issue , 2012, Pages 465-472

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

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Information fusion; Markov model; Pattern recognition

Indexed keywords

AFFECTIVE STATE; BENCHMARKING DATA; INDIVIDUAL CLASSIFIERS; MARKOV MODEL; MARKOV RANDOM FIELDS; MISSING VALUES; MULTIPLE CHANNELS; MULTIPLE CLASSIFIER COMBINATION;

INFORMATION FUSION; MARKOV PROCESSES; PATTERN RECOGNITION;

INTERACTIVE COMPUTER SYSTEMS;

EID: 84870155552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2388676.2388778     Document Type: Conference Paper

References (19)

1. M. Bicego, V. Murino, and M. Figueiredo. Similarity-based clustering of sequences using hidden Markov models. In Proceedings of the International Conference on Machine Learning and Data Mining, volume 2734 of LNCS, pages 95-104. Springer, 2003.
2. C. M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
3. L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
4. C. Chow. On optimum recognition error and reject tradeoff. IEEE Transactions on Information Theory, 16(1):41-46, 1970.
5. C. De Stefano, C. Sansone, and M. Vento. To reject or not to reject: That is the question - An answer in case of neural classifiers. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 30(1):84-94, 2000.
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. J. Fontaine, K. Scherer, E. Roesch, and P. Ellsworth. The world of emotions is not two-dimensional. Psychological Science, 18(12):1050, 2007.
8. M. Glodek, L. Bigalke, M. Schels, and F. Schwenker. Incorporating uncertainty in a layered HMM architecture for human activity recognition. In Proceedings of the Joint Workshop on Human Gesture and Behavior Understanding (J-HGBU), pages 33-34. ACM, 2011.
9. H. Hermansky, N. Morgan, A. Bayya, and P. Kohn. RASTA-PLP speech analysis technique. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 121-124. IEEE, 1992.
10. 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.
11. 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.
12. G. Palm and M. Glodek. Towards emotion recognition in human computer interaction. In A. Esposito, S. Squartini, and G. Palm, editors, Computational Intelligence in Emotional or Affective Systems, Smart Innovation, Systems and Technologies. Springer, to appear.
13. L. Rabiner and B. Juang. Fundamentals of speech recognition. Prentice Hall, 1993.
14. M. Schels, M. Glodek, S. Meudt, M. Schmidt, D. Hrabal, R. Böck, S. Walter, and F. Schwenker. Multi-modal classifier-fusion for the classification of emotional states in WOZ scenarios. In Proceedings of the International Conference on Affective and Pleasurable Design (APD'12), Advances in Human Factors and Ergonomics Series, pages 5337-5346. CRC Press, 2012.
15. S. Scherer, M. Glodek, G. Layher, M. Schels, M. Schmidt, T. Brosch, S. Tschechne, F. Schwenker, H. Neumann, and G. Palm. A generic framework for the inference of user states in human computer interaction: How patterns of low level communicational cues support complex affective states. Journal on Multimodal User Interfaces, pages 1-25, 2012.
16. M. Schröder, R. Cowie, E. Douglas-Cowie, S. Savvidou, E. McMahon, and M. Sawey. 'feeltrace': An instrument for recording perceived emotion in real time. In Proceedings of the ISCA Workshop on Speech and Emotion: A Conceptual Framework for Research, pages 19-24. Textflow, 2000.
17. B. Schuller, M. Valstar, F. Eyben, R. Cowie, and M. Pantic. Avec 2012 - the continuous audio/visual emotion challenge. In Proceedings of the Second International Audio/Visual Emotion Challenge and Workshop (AVEC 2012), Grand Challenge and Satellite of ACM ICMI 2012. ACM, 2012.
18. 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.
19. F. Zheng, G. Zhang, and Z. Song. Comparison of different implementations of MFCC. Journal of Computer Science and Technology, 16(6):582-589, 2001.