Unsupervised topic modelling for multi-party spoken discourse
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A writer identification system for on-line whiteboard data
Pattern Recognition
Probabilistic temporal multimedia data mining
ACM Transactions on Intelligent Systems and Technology (TIST)
A comprehensive study of visual event computing
Multimedia Tools and Applications
Multimodal integration for meeting group action segmentation and recognition
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
A multimodal discourse ontology for meeting understanding
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Writer identification for smart meeting room systems
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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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.