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» Combining Methods for Dynamic Multiple Classifier Systems
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156
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MCS
2001
Springer
15 years 10 months ago
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
Giorgio Fumera, Fabio Roli
ICPR
2004
IEEE
16 years 6 months ago
Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming
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...
Gerhard Rigoll, Stephan Reiter
198
Voted
IPMI
2005
Springer
16 years 6 months ago
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sull...
157
Voted
IPMU
2010
Springer
15 years 7 months ago
Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting Recognition
In this work, we focus on an improvement of a multi-script handwritting recognition system using a HMM based classifiers combination. The improvement relies on the use of Dempster-...
Yousri Kessentini, Thomas Burger, Thierry Paquet
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 6 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi