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» On Combining Classifiers
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ICPR
2004
IEEE
14 years 11 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
ESANN
2008
13 years 11 months ago
An emphasized target smoothing procedure to improve MLP classifiers performance
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
ICDAR
2009
IEEE
14 years 4 months ago
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun...
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
ICPR
2004
IEEE
14 years 11 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov