Michael R. Scheessele

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Assigning the development of a poker-playing agent as a group project allows flexibility with respect to the topics and techniques typically covered in an introductory Artificial Intelligence course. A poker agent project also provides students the experience of 'authentic' AI research, due to the status of poker as an 'unsolved' problem in AI. Despite this(More)
The goal of this study was to explore the use of machine learning techniques in the development of a web-based application that transcribes between multiple orthogra-phies of the same language. To this end, source text files used in the publishing of the Iu Mien Bible translation in 4 scripts were merged into a single textbase that served as a text corpus(More)
The two-stage model of amodal completion or TSM (Sekuler & Palmer, 1992), and the ambiguity theory (Rauschenberger, Peterson, Mosca, & Bruno, 2004) provide conflicting accounts of the phenomenon of amodal completion in 2-D images. TSM claims that an initial mosaic (2-D) representation gives way to a later amodally completed (3-D) representation.(More)
When a figure is only partially visible and its contours represent a small fraction of total image contours (as when there is much background clutter), a fast contour classification mechanism may filter non-figure contours in order to restrict the size of the input to subsequent contour grouping mechanisms. The results of two psychophysical experiments(More)
The thesis presents an effort at developing a robust, interactive framework for rendering 3-D fire in real-time in a production environment. Many techniques of rendering fire in non real-time exist and are constantly employed by the movie industry. Many of the systems developed for rendering fire in offline mode directly influenced and inspired real-time(More)
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