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Statistical modeling of social networks as complex systems has always been and remains a challenge for social scientists. Exponential family models give us a convenient way of expressing local network structures that have sufficient statistics for their corresponding parameters. This kind of model, known as Exponential Random Graph Models (ERGMs), or p *(More)
One of the major issues in novelty detection for video and image analysis application is how to recognize objects that are not in full view. As the camera pans, tilts and zooms, image objects within a scene are never in full view and enter and exit image frames with time. These objects with partial view do not contain enough number of pixels that can(More)
Machine learning is used in a large number of bioinformatics applications and studies. The application of machine learning techniques in other areas such as pattern recognition has resulted in accumulated experience as to correct and principled approaches for their use. The aim of this paper is to give an account of issues affecting the application of(More)