The detection of concept frames using clustering multi-instance learning

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2917-2920

  Tax, D M J ^a   Hendriks, E ^a   Valstar, M F ^b   Pantic, M ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Classification; Multi instance learning; Time series classification

Indexed keywords

CLASSIFICATION; CLUSTERING APPROACH; FACIAL EXPRESSIONS; FACIAL MUSCLES; MULTI-INSTANCE LEARNING; RELIABLE DETECTION; TIME POINTS; TIME SERIES CLASSIFICATION;

PATTERN RECOGNITION; TIME SERIES; VECTOR QUANTIZATION;

CLASSIFICATION (OF INFORMATION);

EID: 78149491094     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.715     Document Type: Conference Paper

References (12)

1. P. Ekman and W. Friesen, Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto, 1978.
2. M. Valstar, "Timing is everything: A spatio-temporal approach to the analysis of facial actions," Ph.D. dissertation, Imperial College of Science, Technology and Medicine Department of Computing, 2008.
3. M. Pantic and M. Bartlett, "Machine analysis of facial expressions," in Face Recognition. I-Tech Education and Publishing, 2007.
4. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. John Wiley & Sons, 2001.
5. T. Dietterich, R. Lathrop, and T. Lozano-Perez, "Solving the multiple instance problem with axis-parallel rectangles," Artificial Intelligence, vol. 89, no. 1-2, pp. 31-71, 1997.
6. H.-Y. Wang, Q. Yang, and H. Zha, "Adaptive p-posterior mixture-model kernels for multiple instance learning," in Proc. 25th Int'l Conf. Machine learning, 2008, pp. 1136-1143.
7. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc.18th Int'l Conf. Machine Learning (ICML-2001), 2001.
8. L. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. of the IEEE, vol. 77, no. 2, pp. 257-286, 1989.
9. A. Bradley, "The use of the Area under the ROC curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 30, no. 7, pp. 1145-1159, 1997.
10. O. Maron and T. Lozano-Pérez, "A framework for multiple-instance learning," in Advances in Neural Information Processing Systems, vol. 10. MIT Press, 1998, pp. 570-576.
11. M. Pantic, M. Valstar, R. Rademaker, and L. Maat, "Web-based database for facial expression analysis," IEEE Int'll Conf. Multimedia and Expo, p. 5, 2005.
12. J. Anderson, "Logistic discrimination," in Classification, Pattern Recognition and Reduction of Dimensionality, ser. Handbook of Statistics, P. Kirshnaiah and L. Kanal, Eds. Amsterdam: North Holland, 1982, vol. 2, pp. 169-191.