Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
In this work, a technique addressed to the reliable identification of very similar filled-in forms, with a reject option, is proposed. The method is based on the automatic detecti...
Due to the presence of speckle, segmentation of SAR images is generally acknowledged as a difficult problem. A large effort has been done in order to cope with the influence of sp...
This paper presents an adaptive method for the skew angle estimation of noisy handwritten Arabic documents using the energy distributions of Cohen’s class. The presence of noise...