Through concept generalization and deleting irrelevant dimension, various association rules less than 7d can be evolved from the 7d image association rules model 7d_ar.
通过概念提升及删除无关维，由七维图像关联规则模型7d_ar可以演化出维数小于七维的各种关联则。
2
The experimental results show that this method leads to statistical models with better generalization ability, which is useful for cardiac image segmentation and motion analysis.
实验结果表明，该方法可有效提高统计模型的泛化能力，并实现对心室结构的分割和运动跟踪。
3
Kernel-based Support Vector Machine (SVM) is widely used in many fields (e. g. image classification) for its good generalization, in which the key factor is to design effective kernel functions.