@inproceedings{c44f8a6ddb264dc2b86b99d608b03e7b,
title = "Segmentation and classification of meeting events using multiple classifier fusion and dynamic programming",
abstract = "In this paper the segmentation of a meeting into meeting events is investigated as well as the recognition of the detected segments. First the classification of a meeting event is examined. Five different classifiers are combined through multiple classifier fusion. Then a way for finding the optimal segment boundaries is presented. With a Dynamic Programming approach quite encouraging results can be obtained. The results show further that by classifier fusion a more stable result can be achieved than using only one single classifier.",
author = "Stephan Reiter and Gerhard Rigoll",
year = "2004",
doi = "10.1109/ICPR.2004.1334559",
language = "English",
isbn = "0769521282",
series = "Proceedings - International Conference on Pattern Recognition",
pages = "434--437",
editor = "J. Kittler and M. Petrou and M. Nixon",
booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",
note = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",
}