Zhenping Xie

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It is well known that fuzzy clustering and level set are two fundamental methods for image segmentation. The former focuses on the statistical properties of image features, while the latter aims to acquire the good geometrical continuity of segmentation boundaries. Obviously, two kinds of methods may complement each other. Inspired by this idea, a new level(More)
In many traditional machine learning methods, sampling is only a process of acquiring training data. However, some studies (on sequential Markov chains and particle filters) have demonstrated that sampling can be used for solving some intractable optimization problems in classical learning methods. Along this line of thinking, the relationships between(More)
  • Zhenping Xie
  • 2009 International Conference on Artificial…
  • 2009
It is well known that fuzzy clustering and level set are two important tools for image segmentation. The former focuses on analyzing the statistical characteristics of image features, while the latter aims to acquire the good geometrical continuity of segmentation boundaries. Obviously, two kinds of methods may complement each other. Inspired by this idea,(More)
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