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» A Mixture Model System for Medical and Machine Diagnosis
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TITB
2008
102views more  TITB 2008»
13 years 7 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
ICCS
2007
Springer
14 years 1 months ago
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanat...
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 1 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...
IPMI
2005
Springer
14 years 29 days ago
Knowledge-Driven Automated Detection of Pleural Plaques and Thickening in High Resolution CT of the Lung
Consistent efforts are being made to build Computer-Aided Detection and Diagnosis systems for radiological images. Such systems depend on automated detection of various disease pat...
Mamatha Rudrapatna, Van Mai, Arcot Sowmya, Peter W...
IPPS
2003
IEEE
14 years 22 days ago
An Implicitly Parallel Object-Oriented Matrix Library and its Application to Medical Physics
We introduce VLADYMIR, a matrix library that permits the development of array-based code in C++. It is especially useful for numerical simulation tasks and parallelises automatical...
Jonas Lätt, Bastien Chopard