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» Robustness of Classifiers to Changing Environments
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CIIA
2009
13 years 5 months ago
Implementation of Multi-Agents System to Control Adaptability in Workflow Environment
The workflow process is often executed in a dynamic environment. This dynamic is classified in several aspects. For this reason, several researches try to give workflow architectur...
Hamdane Mohamed El-Kamel, Lezzar Fouzi, Boufenar C...
EEE
2004
IEEE
13 years 11 months ago
Utilising Push and Pull Mechanism in Wireless E-Health Environment
The emerging of wireless computing motivates radical changes of how information is derived. Our paper concerns with developing push and pull based application in wireless environm...
Agustinus Borgy Waluyo, Raymond Hsieh, David Tania...
CVPR
2007
IEEE
14 years 9 months ago
Detector adaptation by maximising agreement between independent data sources
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
Alan F. Smeaton, Ciarán O. Conaire, Noel E....
ICPR
2008
IEEE
14 years 9 months ago
SVMs, Gaussian mixtures, and their generative/discriminative fusion
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
Georg Heigold, Hermann Ney, Thomas Deselaers
BMVC
1998
13 years 9 months ago
Improving the Robustness of Cell Nucleus Segmentation
A highly successful active contour implementation, for the automatic segmentation of cervical cell nuclei, is shown to lend itself well to a framework that further increases its s...
Pascal Bamford, Brian C. Lovell