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» Fusion of multiple classifiers
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ISBI
2004
IEEE
14 years 9 months ago
Performance-Based Multi-Classifier Decision Fusion for Atlas-Based Segmentation of Biomedical Images
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
IPMI
2005
Springer
14 years 9 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...
TIFS
2010
137views more  TIFS 2010»
13 years 3 months ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 2 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...
MCS
2000
Springer
14 years 5 days ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock