Semi-supervised meeting event recognition with adapted HMMs

IEEE International Conference on Multimedia and Expo, ICME 2005

Volumn 2005, Issue , 2005, Pages 1102-1105

  Zhang, Dong ^a   Gatica Perez, Daniel ^a   Bengio, Samy ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SYSTEMS; DATA RECORDING; MARKOV PROCESSES; MATHEMATICAL MODELS; MULTIMEDIA SYSTEMS; VISUAL COMMUNICATION;

EVENT RECOGNITIONS; LABELED DATA; SEMI SUPERVISED FRAMEWORK;

PATTERN RECOGNITION;

EID: 33750542917     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2005.1521618     Document Type: Conference Paper

References (10)

1. Y. Bengio. Markovian Models for Sequential Data. Neural Computing Surveys 2:129-162, 1999.
2. J. Bilines. A gentle tutorial of the EM algirthm and its application to parameter estimation for gaussian mixture and hidden markov models. ICSI-TR-97-021 U.C. Berkeley, 1997.
3. F. Cardinaux, C. Sanderson, and S. Bengio. Adapted generative models for face verification. IEEE, Face and Gesture, 2004
4. J. L. Gauvain and C.-H. Lee. Maximum a posteriori estimation for multivariate gaussian mixture observation of markov chains. In IEEE Transactions on Speech Audio Processing, April 1994.
5. I. McCowan, S. Bengio, D. Gatica-Perez, G. Lathoud, F. Monay, D. Moore, P. Wellner, and H. Bourlard. Modeling human interactions in meetings. In Proc. IEEE ICASSP, Hong Kong, April 2003.
6. K. Murphy. Dynamic bayesian networks: Representation, inference and learning. Ph.D. dissertation, UC Berkeley, 2002.
7. N. Oliver, E. Horvitz, and A. Garg. Layered representations for learning and inferring office activity from multiple sensory channels. In Proc. ICMI, Pittsburgh, Oct. 2002.
8. L. R. Rabiner and B.-H. Juang. Fundamentals of Speech Recognition. Prentice-Hall, 1993.
9. Douglas A. Reynolds, Thomas F. Quatieri, and Robert B. Dunn. Speaker verification using adapted gaussian mixture models. Digital Signal Processing, 10(1-3), 2000.
10. M. Seeger. Learning with labeled and unlabeled data. Technical Report, 2000