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This paper presents a detailed study and comparison of different clustering based image segmentation algorithms. The traditional clustering algorithms are the hard clustering algorithm and the soft clustering algorithm. We have compared the hard k-means algorithm with the soft fuzzy c-means (FCM) algorithm. To overcome the limitations of conventional FCM we(More)
  • Martin Aher
  • 2011
We will propose a novel solution to the free choice puzzle that is driven by empirical data from legal discourse and does not suffer from the same problems as implicature-based accounts. We will argue against implicature-based accounts and provide an entailment-based solution. Following Anderson's violation-based deontic logic, we will demonstrate that a(More)
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