Martin Aher

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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 cmeans (FCM) algorithm. To overcome the limitations of conventional FCM we(More)
  • Martin Aher
  • Amsterdam Colloquium on Logic, Language and…
  • 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)
This paper investigates different methods of mobile technology. A comprehensive list of references is reported and comparisons of various methods such as 1G, 2G, 3G,4G is reported.Wireless communications networks have become much more pervasive than any one could have imagined. The wide spread success of cellular has led to the development of newer wireless(More)
We will propose a novel solution to the free choice puzzle that is driven by empirical data<lb>from legal discourse and does not suffer from the same problems as implicature-based accounts. We will<lb>argue against implicature-based accounts and provide an entailment-based solution. Following Anderson’s<lb>violation-based deontic logic, we will demonstrate(More)
Clustering or grouping, is a process that searches for “natural” structure with in a data set. It has great theoretical and practical importance in the fields of image processing and pattern recognition applications. The process involves sorting the objects in to group of clusters. The traditional soft (fuzzy c-means) FCM algorithm is sensitive to noise and(More)
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