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MICAI
2010
Springer
13 years 3 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 8 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
ICARCV
2002
IEEE
127views Robotics» more  ICARCV 2002»
13 years 10 months ago
Class-wise multi-classifier combination based on Dempster-Shafer theory
Multi-classifier combination based on Dempster-Shafer theory of evidence has demonstrated it’s superior performance. In the approach based on Dempster-Shafer theory, the basic ...
Bin Zhang, Sargur N. Srihari
ICPR
2006
IEEE
13 years 11 months ago
A fusion methodology based on Dempster-Shafer evidence theory for two biometric applications
Different features carry more or less rich and varied pieces of information to characterize a pattern. The fusion of these different sources of information can provide an opportun...
Muhammad Arif, Thierry Brouard, Nicole Vincent
ACMSE
2005
ACM
13 years 11 months ago
Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory
Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Dong Yu, Deborah A. Frincke