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An efficient synthesis method for fusing triazole ring onto the naphthalimide core was described.
Since the resulting classifiers are not statistically independent, we propose a new method for fusing the classifiers.
In this study, we proposed a new adaptive method for fusing multiple emotional modalities to improve the performance of the emotion recognition system.
A method for fusing data-models with expert information in the form of both certain and uncertain knowledge is proposed and applied to test problems from the fields of data classification and reliability analysis of engineering systems.
The related wavelet-based image fusion technique is reviewed and given in Section 2. The proposed method for fusing multimodal medical images is described in Section 3. Experimental results and analysis are presented in Section 4 and the conclusions are given in Section 5.
The additive wavelet/Contourlet method for fusing MS and PAN images uses the wavelet [91]/contourlet [44] transform in steps 1 and 3 in Algorithm 5, and for the fusion rule in step 2, it adds the detail bands of the MS image to those corresponding of the PAN image, having previously matched the MS histogram to one of the PAN image.
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Regarding action fusion, two combination methods for fusing the preferences from each behavior are used in the experiments.
Since then, this hybridoma technology has been improved greatly by different novel methods for fusing, growing, selecting, cloning, and screening hybridoma clones.
Therefore, we propose the following method that finds clusters in decision space and learns separate logistic regression models for every cluster for fusing the individual predictions.
The SVM classifier was used for fusing the selected classifiers.
Multihypothesis techniques are used by[47, 48] for fusing different SIs.
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