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As magnetic resonance imaging (MRI) is an important technology of radiological evaluation and computer-aided diagnosis, the accuracy of the MR image segmentation directly influences the validity of following processing. In general, the Gaussian mixture model (GMM) is highly effective for MR image segmentation. But for the conventional GMM appling in image segmentation, cluster assignment is based...
The performance and regression precision of weak learners (accuracies should be greater than 0.5) for pattern recognition and forecasting can be upgraded using AdaBoost algorithm. Support vector machine (SVM) is a state-of-the-art learning machines and have been widely used in pattern recognition area since 90's of 20th contrary, however the performance of SVM is not stable and easily influenced due...
Anti-spam system is asked urgently in recent years. Compared with traditional anti-spam system, a new spam filtering system is proposed in this paper which is based on uncertain learning approaches. These uncertain learning approaches are well integrated through a commission collaboration mechanism. The new system could handle dual-way spam filtering, namely both out-going and in-coming spam filtering...
A new incremental learning method for support vector machine (SVM) is proposed, which train SVM quickly and incrementally. In this paper, we first choose the violating KKT samples which maybe be new support vector candidates. Then for a given new-added sample, the proposed training method validate whether they are border vectors. If true, we add them to training sample set to retrain support vector...
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