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» Combining Methods for Dynamic Multiple Classifier Systems
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AAAI
1996
15 years 3 months ago
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes
Most model-based diagnosis systems, such as GDE and Sherlock, have concerned discrete, static systems such as logic circuits and use simple constraint propagation to detect incons...
Siddarth Subramanian, Raymond J. Mooney
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
15 years 6 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
108
Voted
KES
2006
Springer
15 years 2 months ago
Classification Using Multiple and Negative Target Rules
Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification sy...
Jiuyong Li, Jason Jones
SCP
2010
108views more  SCP 2010»
15 years 21 days ago
Combining dynamic and static slicing for analysing assembler
One of the most challenging tasks a programmer can face is attempting to analyse and understand a legacy assembler system. Many features of assembler make analysis difficult, and ...
Martin P. Ward, Hussein Zedan
ET
2007
111views more  ET 2007»
15 years 2 months ago
Dynamic Fault Diagnosis of Combinational and Sequential Circuits on Reconfigurable Hardware
This article describes an emulation-based method for locating stuck-at faults in combinational and synchronous sequential circuits. The method is based on automatically designing a...
Fatih Kocan, Daniel G. Saab